Patent Application
20250139744
The present disclosure relates to an image processing apparatus, a processing method for the image processing apparatus, and a storage medium.
There is a recently proposed apparatus that uses a neural network to improve the quality of images captured by cameras and other devices. The use of a neural network makes it possible to provide image quality improvement processing, such as noise reduction and super resolution, with high performance and high speed compared with the related art.
In particular, real-time image quality improvement processing performance is called for in moving images. Recurrent neural networks (RNN) are widely used as a method for providing the real-time performance of moving images.
An RNN has, as a feature, a structure for recurrently inputting output results or history information from the RNN to the RNN. This feature makes it possible to perform processing on time-series data of an arbitrary length using a single neural network.
An RNN has a recurrent structure, which eliminates the need for preparing a neural network corresponding to time-series data, resulting in reduction of the size of the neural network. This allows high-speed processing or real-time processing.
Japanese Patent Application Laid-Open Publication No. 2021-149333 discusses an image processing apparatus that uses an RNN to provide neural network operation processing with small latency and at low cost.
Japanese Patent Application Laid-Open Publication No. 2006-3743 discusses an apparatus that retrieves a history produced by history generation processing when processing is resumed after suspended, and determines whether input information in the retrieved history is still available or unavailable. If the input information is unavailable, the apparatus does not use the input information in the history.
According to an aspect of the present invention, an image processing apparatus includes at least one processor and a memory coupled to the at least one processor, the memory having instructions that, when executed by the processor, performs operations as an information processing unit and an output unit. In a case where the information processing unit is in operation and history information held in a history information holding unit is available, the information processing unit is configured to execute information processing using an input image and the history information held in the history information holding unit to generate an information-processed image, and update the history information held in the history information holding unit, and the output unit is configured to output the information-processed image. In a case where the information processing unit is in operation and the history information held in the history information holding unit is unavailable, the information processing unit is configured to regenerate history information based on the input image, execute information processing using the input image and the regenerated history information to generate an information-processed image, and update the history information held in the history information holding unit, and the output unit is configured to output the information-processed image. In a case where the information processing unit is suspended, the output unit is configured to output the input image.
Further features of the present invention will become apparent from the following description of embodiments with reference to the attached drawings.
Neural networks, such as recurrent neural networks (RNNs), provide complicated processing, such as image quality improvement processing, with high performance and high speed. On the other hand, neural networks tend to increase arithmetic operations. More arithmetic operations consume more power of the apparatus.
Some recent moving bodies, such as vehicles, ships, aircrafts, and drones, include an edge device for processing images captured by cameras or other devices. The use of such an edge device leads to the demand for reduced power consumption to save fuels for batteries and generators.
To reduce power consumption, functions of an apparatus will be temporarily turned off when the functions become unnecessary, and turned on immediately when the functions become necessary.
With an RNN for processing in use, the RNN has a structure for recurrently inputting a previous output result or history information to the RNN. Thus, making full use of the performance of the RNN involves continuously inputting images or other data to the RNN.
However, if the RNN operation is suspended due to power consumption or other reasons, history information becomes old or will not be updated, preventing the RNN from operating with its full performance when the RNN operation is resumed.
In particular, moving images with low frame rate, which are often found in monitoring cameras, entails longer processing intervals, which leads to a longer period during which the RNN cannot operate with its full performance when the RNN operation is resumed. This can cause, for example, screen flicker or missing a target to be monitored moving at high speed (a running person, a running vehicle, etc.).
On the other hand, to avoid screen flicker or missing a target to be monitored, it is conceivable that the RNN processing is constantly operated. This will cause large power consumption all the time, making it difficult to use the apparatus for a long period of time under an environment in which a battery or a generator is used.
In the method discussed in Japanese Patent Application Laid-Open Publication No. 2006-3743, history information can be deleted, which means no history information available when processing is resumed, preventing the processing with its full performance immediately after the processing is resumed.
The present disclosure is directed to appropriate processing with an information processing unit in operation and history information unavailable.
Embodiments of the present disclosure will be described in detail with reference to the drawings. Configurations described in the following embodiments are merely examples, and the present invention is not limited to these configurations.
The control device 11 generally controls the operation of the image processing apparatus 10. The storage device 12 holds programs and data to be used for operation of the control device 11. The calculation device 13 executes arithmetic processing under the control of the control device 11.
The input device 14, such as a human interface device, is used to input user operations to the image processing apparatus 10. The output device 15, such as a display, presents processing results from the image processing apparatus 10 and other information to a user.
The I/F device 16 is a wired interface, such as a universal serial bus (USB), Ethernet, or an optical cable, or a wireless interface, such as Wireless Fidelity (Wi-Fi®) or Bluetooth®. The I/F device 16 has functions of, for example, connecting to a camera or other devices to input captured images to the image processing apparatus 10, transmitting processing results acquired at the image processing apparatus 10 to an external device, and inputting programs, data, and other information to be used for operation of the image processing apparatus 10 to the image processing apparatus 10. The camera is, for example, a video camera or a security camera.
The image acquisition unit 201 acquires, as input images, images on which image processing is to be performed by the image processing apparatus 10.
The input image holding unit 202 holds the input images acquired by the image acquisition unit 201. The history information holding unit 203 holds history information.
The information processing unit 204 executes information processing using input images held in the input image holding unit 202 and history information held in the history information holding unit 203 to generate information-processed images and updated history information.
If it is determined that history information held in the history information holding unit 203 before the operation of the information processing unit 204 is unavailable, the history information holding unit 203 regenerates history information based on an input image held in the input image holding unit 202, and holds the regenerated history information as new history information.
The term “regeneration” as used herein refers to a process of discarding history information held in the history information holding unit 203 when it is determined that the history information held in the history information holding unit 203 is unavailable and regenerating history information alone based on the input image held in the input image holding unit 202.
The history information holding unit 203 receives the updated history information generated by the information processing unit 204, and holds the updated history information as new history information.
When the information processing unit 204 is in operation, the output unit 205 outputs information-processed images generated by the information processing unit 204, and when the information processing unit 204 is out of operation, the output unit 205 outputs input images held in the input image holding unit 202.
In step S101, the image acquisition unit 201 acquires an image subject to image processing by the image processing apparatus 10 as an input image. Examples of the input image include a streaming image, a moving image file, a series of image files stored for each frame, and moving images or images stored in media.
The image acquisition unit 201 can acquire input images from a solid-state image sensor, such as a complementary metal-oxide semiconductor (CMOS) sensor, a charge-coupled device (CCD) sensor, or a single-photon avalanche diode (SPAD) sensor, a camera or another device including such a solid-state image sensor, or can acquire input images from a storage device, such as a hard disk or a solid-state drive (SSD), or a recording medium. One or more components, cameras, storage devices, or recording media can be used to acquire input images.
In step S102, the input image holding unit 202 holds the input image acquired by the image acquisition unit 201. The input image holding unit 202 can hold a single latest image, or a plurality of images in chronological order.
The input image holding unit 202 can set an upper limit for the number of images to be held to discard images in chronological order when the number of images to be held exceeds the upper limit. If the information processing unit 204 uses a plurality of images to execute information processing, the number of images to be used by the information processing unit 204 can be set as the upper limit.
The upper limit can be set to a value greater than the number of images to be used by the information processing unit 204 so as to prevent writing of the input image acquired by the image acquisition unit 201 to the input image holding unit 202 from competing with reading of the input image by the information processing unit 204 from the input image holding unit 202.
For example, if one input image acquired by the image acquisition unit 201 is written to the input image holding unit 202 and the information processing unit 204 uses three images to execute information processing, the input image holding unit 202 can be set to hold at least four images.
Further, the upper limit for the number of images to be held can be additionally increased to prevent skipped processing due to a delay in the subsequent processing. For example, if skipped processing up to 20 frames in moving images is allowed, the input image holding unit 202 can be set to additionally store 20 frames.
The input image holding unit 202 can hold additional images corresponding to the number of images to be used in regenerating history information in step S107. For example, if images corresponding to three consecutive frames are used in regenerating history information in step S107, the input image holding unit 202 can additionally store images corresponding to three frames. In this case, the input image holding unit 202 holds at least the number of input images used for the information processing unit 204 to regenerate history information.
With a latency in processing from step S105 to step S108, the input image holding unit 202 can additionally hold images corresponding to the latency. For example, if the latency corresponds to three frames, the input image holding unit 202 can hold only one image before the three frames, or can additionally hold three frames. In this case, the input image holding unit 202 holds at least the number of input images corresponding to the number of latencies in the information processing unit 204.
The input image holding unit 202 desirably stores the input image acquired by the image acquisition unit 201 and an identifier for uniquely identifying the input image at once. Examples of the identifier include the image capturing time.
The identifier desirably indicates the chronological order of input images. Examples of the identifier include a frame number and a serial number. A frame number and a serial number can be acquired from, for example, a camera including a solid-state image sensor, a storage device, such as a hard disk or an SSD, or a recording medium. In the input image holding unit 202, a time can be assigned, or a unique number can be generated.
In step S103, the image processing apparatus 10 determines the state of the information processing unit 204. The state of the information processing unit 204 is a state where the information processing unit 204 is suspended, or a state where the information processing unit 204 is in operation.
The state where the information processing unit 204 is suspended indicates a state where the information processing unit 204 cannot start new processing, and the state where the information processing unit 204 is in operation indicates a state where the information processing unit 204 can start new processing.
Also, when the information processing unit 204 is waiting for processing, for example, initialization, and reset due to an option change, or is waiting for completion of information processing, the information processing unit 204 cannot start new processing, and thus it is determined that the information processing unit 204 is suspended.
Also, when the information processing unit 204 skips processing, that is, an input image is output not subjected to information processing, no input image is supplied to the information processing unit 204. Thus, the information processing unit 204 cannot start new processing, and it is determined that the information processing unit 204 is suspended.
As a result of the determination described above, if the information processing unit 204 is suspended, the processing proceeds to step S104, and if the information processing unit 204 is in operation, the processing proceeds to step S105.
In step S104, the output unit 205 outputs the input image held in the input image holding unit 202.
If the input image holding unit 202 holds one input image, the output unit 205 outputs the input image. If the input image holding unit 202 holds two or more input images, the output unit 205 outputs one of the input images held in the input image holding unit 202.
One of the images to be output is, for example, the older or oldest image in the chronological order of the input images held in the input image holding unit 202.
With a latency in the processing from step S105 to step S108, the output unit 205 can acquire the number of previous images corresponding to the latency from the input image holding unit 202 to output the acquired image(s).
Matching the latency in the processing of step S104 with the latency in the processing of step S105 and subsequent steps eliminates losing or skipping a frame when the processing in step 103 is switched in moving image processing.
With an identifier assigned to the output image, the output unit 205 can output the identifier and the image at once.
In step S105, the history information holding unit 203 determines whether the held history information is available or unavailable. If the history information is available, the processing proceeds to step S106. If the history information is unavailable, the processing proceeds to step S107.
In step S106 subsequent to step S105, the information processing unit 204 executes information processing using the input image held in the input image holding unit 202 and the history information held in the history information holding unit 203 to generate an information-processed image and updated history information.
In step S106, if the history information held in the history information holding unit 203 is older in chronological order than intended by the information processing unit 204, the processing of the information processing unit 204 cannot be performed as intended, which can cause low processing accuracy, a defective output, or a lost output.
Thus, in step S105, it is determined whether the history information held in the history information holding unit 203 is older in the chronological order than intended by the information processing unit 204, whereby it is determined whether the history information is available or unavailable. Then, the subsequent processing is branched based on the determination result.
In the above-described determination, if the history information is older in the chronological order than intended by the information processing unit 204, it is determined that the held history information is unavailable. If the history information is not older than intended by the information processing unit 204, it is determined that the held history information is available.
For example, in an example illustrated in
As illustrated in
It herein is assumed that a frame number is assigned as an identifier to the input image held in the input image holding unit 202.
As illustrated in
The information processing unit 204 is designed to use the history information 402 about the frame N-1 immediately before the frame N when the image 401 of the frame N is input as the input image as illustrated in
However, in the example illustrated in
In the example illustrated in
On the other hand, if the information processing unit 204 is not suspended, as illustrated in
In the example illustrated in
In this case, if the history information is delayed by M frames or more when M is set as a constant greater than 1, the history information can be determined to be old and thus unavailable, and if the history information is delayed by less than M frames, the history information can be determined to be not old and thus be available.
Specifically, when the history information held in the history information holding unit 203 is available, the history information is history information about a frame that is less than a threshold number of frames before the current frame. When the history information held in the history information holding unit 203 is unavailable, the history information is history information about a frame that is the threshold number of frames or more before the current frame.
In step S106, if the history information holding unit 203 includes no history information, the information processing unit 204 is not performed as intended, which can cause low processing accuracy, a defective output, or a lost output.
Thus, in step S105, if the history information holding unit 203 holds no history information, or if no history information is present, it can be determined that the history information is unavailable.
On the other hand, if the history information holding unit 203 holds history information, or if history information is present, for example, it can be determined whether the history information is old in the chronological order as described above to determine whether the history information is available or unavailable. Then, the subsequent processing can be branched based on the determination result.
If the input image is directly output, for example, by the processing of the information processing unit 204 being skipped, or not subjected to information processing, the history information held in the history information holding unit 203 is not updated, and thus the history information becomes old in the chronological order.
In this case, the history information holding unit 203 can delete the held history information that is old in the chronological order.
If the history information is deleted, in step S105, the history information holding unit 203 does not hold any history information, or no history information is present. Thus, it is determined that the history information is unavailable.
The history information holding unit 203 can hold an update flag indicating whether the history information is to be updated.
Examples of the case where the history information is to be updated include a case where the history information held in the history information holding unit 203 is not updated, for example, by the processing of the information processing unit 204 being skipped, and the history information becomes old in the chronological order.
The update flag can be represented by a truth-value that indicates “true”, for example, when history information is to be updated, and indicates “false”, for example, when history information is not to be updated.
For example, when the history information held in the history information holding unit 203 is updated, the update flag is set to “false”, and when the history information held in the history information holding unit 203 is not updated, the update flag is set to “true”.
In this case, in step S105, it is determined whether the history information is available or unavailable based on the update flag, and based on the determination result, the subsequent processing is branched.
For example, if the update flag indicates “true”, it is determined that the history information is unavailable, and if the update flag indicates “false”, it is determined that the history information is available.
In step S106, the information processing unit 204 executes information processing using the input image held in the input image holding unit 202 and the history information held in the history information holding unit 203 to generate an information-processed image and updated history information. Then, the processing proceeds to step S108.
The above-described information processing includes various types of known image processing. Examples of the various types of information processing include noise removal processing, super-resolution processing, sharpening processing, fog/haze removal processing, and dark area emphasis processing.
If an identifier is assigned to the input image, the information processing unit 204 assigns the identifier assigned to the input image to the information-processed image and the updated history information.
One or more input images and one or more information-processed images can be used.
The number of input images can be the same as or different from the number of information-processed images.
One or more pieces of history information and one or more pieces of updated history information can be used.
The number of pieces of history information can be the same as or different from the number of pieces of updated history information.
The information-processed image can be treated as updated history information. In this case, the information processing unit 204 need not necessarily output the updated history information.
The history information holding unit 203 holds the updated history information generated by the information processing unit 204 as new history information.
If an identifier is assigned to the updated history information, the history information holding unit 203 holds the identifier and the updated history information as new history information.
Examples of the method for executing information processing include machine learning and a neural network.
Examples of the machine learning method include a decision tree, random forest, and Light Gradient Boosting Machine (LightGBM).
Examples of the neural network include a convolutional neural network, a deconvolutional neural network, and an auto encoder in which a convolutional neural network and a deconvolutional neural network are connected.
In the neural network 501 illustrated in the example of
In the example illustrated in
When the input image 502 is input to a Conv 101 of the neural network 501 and the history information 503 is input to a Conv 103, calculation processing is executed based on a processing procedure illustrated in
After a completion of processing on the neural network 501, an information-processed image 504 is output from an Output 101 of the neural network 501, and updated history information 505 is output from an Output 102 of the neural network 501.
The information processing unit 204 can perform information processing using the neural network 501 illustrated in the example of
For example, when the neural network 501 is used in two stages, in the first stage, the information processing unit 204 generates updated history information about a frame N-1 using the input image of the frame N-1 and history information about the frame N-2.
In the second stage that ensues, the information processing unit 204 generates information-processed image of the frame N and updated history information about the frame N using the input image of the frame N and the history information about the frame N-1.
The information processing unit 204 can execute information processing using an RNN. The neural network 501 is an example of the RNN. For example, the RNN recurrently inputs the history information 505 about the previous output result as the history information 503 as the current input of the RNN. The history information 505 is, for example, the information-processed image generated by the information processing unit 204.
The information processing unit 204 can treat an intermediate output from machine learning or a neural network as history information as updated history information.
For example, in the example of the neural network 501 illustrated in
If the information processing unit 204 uses machine learning or a neural network in multiple stages, an output from any stage other than the last-stage machine learning or neural network can be retrieved as the intermediate output and, the intermediate output can be treated as updated history information.
For example, if the neural network 501 illustrated in
In step S107, the information processing unit 204 regenerates history information based on the input image held in the input image holding unit 202, and then the processing proceeds to step S106. In this case, if an identifier is assigned to the input image, the information processing unit 204 assigns the identifier assigned to the input image to the regenerated history information.
One or more input images can be used. One or more pieces of updated history information can be used.
Examples of the method for regenerating history information include a method of inputting the input image held in the input image holding unit 202 and temporary history information to the information processing unit 204, executing information processing, discarding the information-processed image, and acquiring the updated history information alone.
In other embodiments, the information-processed image is treated as updated history information, instead of discarding the information-processed image. In this case, the information processing unit 204 need not necessarily output the updated history information.
As the temporary history information, for example, the latest history information held in the history information holding unit 203 can be used or the input image held in the input image holding unit 202 can be used, during the execution of the processing of step S107.
Other examples of the temporary history information include a solid image, a pattern image, and a noise image.
The history information holding unit 203 holds the regenerated history information as new history information. If an identifier is assigned to the regenerated history information, the history information holding unit 203 holds the identifier together with the regenerated history information as new history information.
In some cases, it takes a long time to regenerate history information in step S107. Thus, for example, with the processing illustrated in
In such a case, as illustrated in the example of
The execution of the processing of step S107 will lead to an increase of the processing to be performed by the image processing apparatus 10. This will increase the processing time due to the execution of processing of step S107, which can cause a delay in processing.
In such a case, the image processing apparatus 10 can resolve a delay in processing due to the execution of processing of step S107. Examples of the method for resolving the delay include a method of performing the processing of step S107 in another thread, and a method of temporarily increasing the processing frame rate.
In step S105, if it is determined that the history information held in the history information holding unit 203 is unavailable, supposing the processing of step S107 is skipped, in step S106, the information processing unit 204 would execute information processing using unavailable history information.
Unavailable history information hinders the information processing unit 204 from performing with its full performance. This can cause screen flicker and deteriorated accuracy during the image processing on a moving image, resulting in missing a target to be monitored due to screen flicker and deteriorated accuracy.
Thus, for the information processing unit 204 to perform with its full performance, it is necessary that the information processing unit 204 be constantly in operation with latest history information.
Thus, this will prevent the information processing unit 204 from being suspended at unnecessary times, disallowing the power consumption to be reduced, so that the information processing unit 204 cannot be used for a long period of time under the environment in which a battery or a generator is used.
On the other hand, in step S105, if it is determined that the history information held in the history information holding unit 203 is unavailable and the processing of step S106 is executed after the processing of step S107, the information processing unit 204 can execute information processing using regenerated latest history information or available history information. In step S106, the information processing unit 204 executes information processing using the input image and the regenerated history information to generate an information-processed image, and updates the history information held in the history information holding unit 203.
The available history information allows the information processing unit 204 to perform with its full performance. This prevents screen flicker or a deteriorated accuracy during the image processing on a moving image from occurring, not causing a target to be monitored to be missed due to screen flicker or deteriorated accuracy.
With the history information unavailable, regenerated latest history information is used, which eliminates the need that the information processing unit 204 be constantly in operation.
This allows the information processing unit 204 to be suspended at unnecessary times, reducing the power consumption, permitting the information processing unit 204 to be used for a period of time even under the environment in which a battery or a generator is used.
In step S103, if it is determined that the information processing unit 204 is suspended, as illustrated in
In step S109, the history information holding unit 203 executes processing similar to the processing of step S107. Specifically, the history information holding unit 203 regenerates history information based on the input image held in the input image holding unit 202, and updates history information held in the history information holding unit 203. If an identifier is assigned to the input image, the history information holding unit 203 assigns the identifier assigned to the input image to the regenerated history information.
One of the reasons for causing the information processing unit 204 to be suspended is that the information processing unit 204 be suspended at unnecessary times, reducing the power consumption of the image processing apparatus 10. Thus, in the processing of step S109, the image processing apparatus 10 desirably executes the processing with reduced power consumption.
As a method for reducing the power consumption in step S109, for example, the regeneration processing in step S109 is performed by a lighter-weight method (i.e. less compute-intensive method) than the method of regenerating history information used in the processing of step S107 as illustrated in
Examples of lighter-weight methods include machine learning and a neural network. Examples of machine learning methods include a decision tree, random forest, and LightGBM.
Examples of neural networks include a convolutional neural network, a deconvolutional neural network, and an auto encoder in which a convolutional neural network and a deconvolutional neural network are connected.
In the example illustrated in
When the input image 702 is input to the Conv 101 of the neural network 701, calculation processing is executed based on a processing procedure illustrated in
After a completion of processing on the neural network 701, updated history information 703 is output from the Output 101 of the neural network 701.
In the example illustrated in
In step S109, the history information holding unit 203 can regenerate history information using the neural network 701.
Another example of the method for reducing the power consumption in step S109 is a method that uses a device with less power than in normal operation as the calculation device 13 of the image processing apparatus 10. In this case, the regeneration of history information in step S109 is executed by a device with less power consumption than that in the regeneration of history information in step S107. To enable a power-saving device to execute the processing, a light-weight method, such as distillation or quantization, can also be used.
In some embodiments, one of a plurality of methods with different power consumptions can be selected to use depending on the remaining amount of a battery or the remaining amount of fuel for a generator.
For example, with a large amount of remaining charge of a battery or remaining fuel of a generator, history information can be regenerated at high accuracy by a method with a large number of calculations. With a less amount, the method can be gradually changed to a light-weight method, such as the use of a power-saving device. With a further less amount, the processing of step S109 can be stopped.
With the information processing unit 204 out of operation and the processing of step S109 being not executed in parallel with the processing of step S104, the history information is not older with a longer period in which the processing is stopped.
When the information processing unit 204 is caused to be in operation in this state, and it is determined that the history information is unavailable in step S105, the processing of step S107 and the processing of step S106 are executed in sequence, and available history information is regenerated in step S107.
Another example of the method for determining whether to execute the processing of step S109 in parallel with the processing of step S104 as illustrated in FIG. 6 is a method using an operation of a user interface.
For example, supposing a case where whether to cause the information processing unit 204 to be suspended or in operation is switched by a user operation via the input device 14 or the I/F device 16 of the image processing apparatus 10.
For example, supposing a user interface as illustrated in
In the example illustrated in
In the example illustrated in
When the user interface 803 for causing the information processing unit 204 to be in operation from suspended is focused by the user operation illustrated in
Thus, with the information processing unit 204 being suspended, as illustrated in
In the state illustrated in
The processing of step S109 here is completed before the information processing unit 204 is caused to be in operation after the user interface 803 is focused.
After the completion of the processing of step S109, the history information held in the history information holding unit 203 is updated with the latest history information. Thus, when the information processing unit 204 is caused to be in operation, it is determined that the history information is available in step S105, and the processing of step S106 can be executed immediately without additional overhead.
In step S108, the output unit 205 outputs the information-processed image generated by the information processing unit 204 in step S106. If an identifier is assigned to the output image, the output unit 205 can output the identifier and the image at once.
The output unit 205 can present the processing result to the user via the output device 15 of the image processing apparatus 10, or to another terminal via the I/F device 16.
While the present embodiment illustrates image processing as an example of information processing, the information processing is not limited to image processing alone. Examples of the information processing include a behavior recognition, an orientation estimation, a falling detection, tracking, and a flow rate estimation.
As described above, according to the present embodiment, when the image processing apparatus 10 temporarily stops RNN processing of the information processing unit 204 and causes the information processing unit 204 to be in operation again, with history information unavailable, appropriate history information is regenerated. This feature makes it possible to make full use of the performance of the RNN immediately when the RNN processing is resumed, causing no screen flicker or deterioration in the image processing accuracy, preventing a target to be monitored from being missed during the image processing on a moving image due to screen flicker or deteriorated accuracy.
Furthermore, the image processing apparatus 10 can stop and resume processing without degrading the RNN processing performance of the information processing unit 204, which eliminates the need that the information processing unit 204 be constantly in operation to keep the RNN processing performance of the information processing unit 204, reducing the power consumption of the image processing apparatus 10. Consequently, the image processing apparatus 10 can be used for a long period of time even under the environment in which a battery or a generator is used.
Embodiment(s) of the present invention can also be realized by a computer of a system or apparatus that reads out and executes computer executable instructions (e.g., one or more programs) recorded on a storage medium (which may also be referred to more fully as a ‘non-transitory computer-readable storage medium’) to perform the functions of one or more of the above-described embodiment(s) and/or that includes one or more circuits (e.g., application specific integrated circuit (ASIC)) for performing the functions of one or more of the above-described embodiment(s), and by a method performed by the computer of the system or apparatus by, for example, reading out and executing the computer executable instructions from the storage medium to perform the functions of one or more of the above-described embodiment(s) and/or controlling the one or more circuits to perform the functions of one or more of the above-described embodiment(s). The computer may comprise one or more processors (e.g., central processing unit (CPU), micro processing unit (MPU)) and may include a network of separate computers or separate processors to read out and execute the computer executable instructions. The computer executable instructions may be provided to the computer, for example, from a network or the storage medium. The storage medium may include, for example, one or more of a hard disk, a random-access memory (RAM), a read only memory (ROM), a storage of distributed computing systems, an optical disk (such as a compact disc (CD), digital versatile disc (DVD), or Blu-ray Disc™ (BD)), a flash memory device, a memory card, and the like.
While the present invention has been described with reference to embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but is defined by the scope of the following claims.
This application claims the benefit of Japanese Patent Application No. 2023-184821, filed Oct. 27, 2023, which is hereby incorporated by reference herein in its entirety.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2023-184821 | Oct 2023 | JP | national |
