Patent Application
20180070065
This non-provisional application claims priority under 35 U.S.C. §119(a) on Patent Application No(s). 201610801101.8 filed in China on Sep. 5, 2016, the entire contents of which are hereby incorporated by reference.
This disclosure relates to an image processing method and an image processing device, and more particularly to an image processing method for color compensating and an image processing device with the function of color compensating.
Generally, the patients with mild blindness have the decreased ability to cognize some kinds of color. For example, for protanomaly patients or deuteranomaly patients, it's hard to cognize red or green things in the reality or in the figures is hard for the. This trouble causes the patients much convenience. While cooking, the patients might have trouble determining whether the food is undercooked; while picking clothing, the patients might have difficulty in color matching; and while buying fruit and vegetable, the patients often buy the wrong thing. For example, the patients cannot distinguish green peppers from red peppers.
The conventional assistant devices for color blindness are usually the glasses or the contact lenses based on the theory of polarization or color compensation to assist the patient with color blindness in discriminate colors. However, these devices just can aim at a single color (e.g., red or green) to compensate. Therefore, the patients with vision deficiency in several colors (e.g., protanomaly and deuteranomaly which are the most common vision deficiency) just can choose a single color to compensate. Furthermore, via the above kind of assistant devices for color blindness, the patients might see the scene without the original color.
This disclosure provides an image processing method, including the following steps: acquiring a first image which comprises multiple pixels; acquiring color compensating information from a user interface; and calibrating a pixel value of each of the multiple pixels based on the color compensating information to generate a second image.
This disclosure provides an image processing device, including an image acquiring module and an operating module. The operating module is coupled to the image acquiring module. The image acquiring module is used for acquiring a first image which has multiple pixels. The operating module is used for acquiring color compensating information from a user interface, and calibrating the value of each pixel of the first image based on the color compensating information to generate a second image.
The present disclosure will become more fully understood from the detailed description given hereinbelow and the accompanying drawings which are given by way of illustration only and thus are not limitative of the present disclosure and wherein:
In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the disclosed embodiments. It will be apparent, however, that one or more embodiments may be practiced without these specific details. In other instances, well-known structures and devices are schematically shown in order to simplify the drawings.
The image acquiring module 110 is used for acquitting a first image 1 with multiple pixels. In an embodiment, an image stream is acquired by a camera of a handheld electronic device or a wearable device. Then, the color of the image stream is converted to generate the first image 1. For example, the process of color conversion mentioned above is converting the image stream from its original color space to the RGB color space, which is composed of red, green and blue. As shown in
The operating module 120 is used for acquiring color compensating information from a user interface 200 and calibrating the value of each pixel of the first image 1 based on the color compensating information to generate a second image 2. For example, as shown in
As another example, for protanomaly patients or deuteranomaly patients, their ability to cognize red and green is weaker, so the R compensating value can be set as +30 and the G compensating value can be set as +20. As the RGB value of one of the pixels in the first image 1 is [20, 100, 200], the RGB value relative to the pixel mentioned above in the second image 2 after calibrating is [50, 120, 200]. As a result, the feelings of red and green of the protanomaly patients or the deuteranomaly patients can be enhanced at the same time. The following describes a method for getting color compensating information.
In an embodiment, the operating module 120 in advance outputs multiple color test plates, as shown in 3A and 3B. Then, the operating module 120 acquires a test result relative to each color test plate from the user interface and generates the color compensating information according to the test result. The color test plate mentioned above is a test plate of partial color blindness or total color blindness. In addition, the operating module 120 selectively outputs one of the various color plates for detecting different levels of color blindness in each test. The operating module 120 gets the relative test result successively to generate the most fitting R compensating value, G compensating value, or B compensating value.
For example, when the operating module 120 detects that a user probably has protanomaly, who has trouble cognizing red, the operating module 120 outputs a color test plate which represents more serious protanomaly (e.g., the red in the color test plate is brighter). When the user answers correctly to the color test plates representing more serious protanomaly, the operating module 120 outputs a color test plate which represents milder protanomaly (e.g., the red in the color test plate is not as bright as the red in the previous color test plate). When the user answers wrong to the color test plates representing milder protanomaly, the real severity of protanomaly of the user is speculated between the two indices relative to the above two color test plates. As a result, the real feeling of the R value of the user can be approached successively to get the most accurate R compensating value of the color compensating information. The process of getting the G compensating value or the B compensating value is similar to the above description, so the related details are not described again.
In an embodiment, the operating module 120 acquires designated color information from the user interface 200, and determines whether at least one of the multiple pixels of the first image 1 is matched to the designated color information. When at least one of the multiple pixels of the first image 1 is matched to the designated color information, the operating module 120 acquires a first part relative to the pixel matched to the designated color information, generates a hint message relative to the first part, and combines the first image 1 with the hint message to generate a third image 3. The designated color information mentioned above includes a designated color code, a designated color name. In an embodiment, the designated color information also includes an error tolerance of color.
For example, the user can set the designated color code as #FFFF00 to search if there is any relative first part with the designated color code #FFFF00 in the first image 1 via the operating module 120. Furthermore, as setting the error tolerance of color, the user can set the error value of red as ±5, the error value of green as ±3, and the error value of blue as 0. Therefore, when the user presses the button 202 and there is the relative first part with the range of RGB value, [250·255, 117˜123, 200], in the first image 1, the operating module 120 generates a relative hint message and combine the first image 1 with the hint message to generate the third image 3, as shown in 4A. In an embodiment, the hint message is a pattern for making the first part more clear to assist the user in finding the first part. For example, the pattern “@” shown in
In an embodiment, as shown in
In an embodiment, the operating module 120 acquires a second part of the first image 1 from the user interface 200 and generates color information relative to at least one of pixels of the second part wherein the color information includes a color code or a color name.
For example, as shown in
In step S610, the image stream has a color conversion to acquire a first image.
In step S620, color compensating information is acquired from a user interface.
In step S630, the second image is generated by calibrating the value of each pixel of the first image based on the color compensating information. The details of these steps are described before and are not explained again.
In view of the above description, in an embodiment of the disclosure, color compensating information can be generated by acquiring the test result relative to each color test plate one by one. Therefore, the real feeling of RGB value can be approached successively to get the most accurate compensating value. Then, the value of each pixel of a first image is calibrated based on the compensating value to generate a second image. In another embodiment, a third image is generated by acquiring the first part, which is matched to designated color information and an error tolerance of color and the relative hint message, to make the first part more clear. In yet another embodiment, by designating a second part of the first image and generating a color code or a color name which is relative to the second part, the users are assisted in feeling and cognizing a designated color.
While this disclosure is described in terms of several embodiments above, these embodiments do not intend to limit this disclosure. It is therefore intended that the following appended claims be interpreted as including all such alterations, permutations, and equivalents as fall within the true spirit and scope of the present disclosure.
| Number | Date | Country | Kind |
|---|---|---|---|
| 201610801101.8 | Sep 2016 | CN | national |
