The present disclosure relates to image sensors having readout noise reduction mechanisms. In particular, aspects of the present disclosure relate to complementary metal oxide silicon (CMOS) image sensors having analog output averaging mechanisms.
Unlike traditional cameras that use film to capture and store images, today's digital cameras use solid-state image sensors to acquire images. Such image sensors are typically disposed on fingernail-sized silicon chips containing millions of photoelectric devices such as photodiodes arranged in an array of pixels. During exposure, each photoelectric device records intensity or brightness of an incident light by converting optical energy into accumulated electrical charges. The brightness recorded by each photoelectric device can then be read out and stored as digital signals.
In operation, the reset transistor 112 is first turned on to set the floating node 106 to a reference voltage Vdd. Then, the transfer transistor 104 is turned on to transfer the accumulated charges from the photodiode 102 to the floating node 106. As a result, the floating node 106 acquires a new voltage. The source-follower transistor 108 then buffers the new voltage at the floating node 106 onto the column bitline 116.
One problem associated with the prior art image sensor 100 is the inability to distinguish actual signals from noise at low light levels. Each transistor of the image sensor 100 can generate noise, for example, by thermal agitation of charge carriers, trapping and de-trapping of charge carriers from transistor traps, or other mechanisms. Such noise is temporal in nature and not deterministic. As a result, the output from the image sensor 100 can change from time to time even though the same amount of light is incident on the image sensor 100. These noise sources can thus degrade the low light image quality and limit the usage of the image sensor 100.
One prior art technique reduces such noise by averaging two successive frames of the image in the digital domain. However, there are a number of shortcomings associated with this conventional technique. First, the additional on-chip/off-chip storage required for storing the successive frames during processing can greatly increase the required chip area and associated manufacturing cost. Second, averaging the two successive frames reduces available frame rate by 50%. As a result, an imaging device implementing such a technique can be unsatisfactory for high speed imaging applications.
The present disclosure describes image sensors with output noise reduction mechanisms. It will be appreciated that several of the details set forth below are provided to describe the following embodiments in a manner sufficient to enable a person skilled in the relevant art to make and use the disclosed embodiments. Several of the details and advantages described below, however, may not be necessary to practice certain embodiments of the invention. Additionally, the invention can include other embodiments that are within the scope of the claims but are not described in detail with respect to
The readout circuit 203 of the image sensor 200 is electrically connected to the column bitline 216 for sampling the electrical signal from the pixel element 201 and supplying the sampled signal to an output line 217. The readout circuit 203 includes first and second sampling transistors 220, 222, an averaging transistor 232, a reset sampling transistor 234, and a differential device 238. The source of the reset sampling transistor 234 is connected to the column bitline 216, and the drain of the reset sampling transistor 234 is connected to a reset sampling capacitor 236 used for sampling the reset voltage from the floating node 206. The bottom plate of the reset sampling capacitor 236 is grounded.
The source of the first and second sampling transistors 220, 222 is connected to the column bitline 216, and the drain of the first sampling transistor is connected to the differential device 238. The averaging transistor 232 electrically connects the drain of the first sampling transistor 220 to that of the second sampling transistor 222. The readout circuit 203 further includes first and second sampling capacitors 226, 228 connected to the drain of the first and second sampling transistors 220, 222, respectively. The bottom plates of the first and second sampling capacitors 226, 228 are grounded. As a result, the first and second sampling capacitors 226, 228 and the averaging transistor 232 can form a closed circuit when the averaging transistor 232 is turned on.
The differential device 238 is configured for subtracting input signals from each other. The input side of the differential device 238 can be connected to the drain of the first and/or second sampling transistors 220, 222 and that of the reset sampling transistor 234. The output side of the differential device 238 is connected to the output line 217. In one embodiment, the differential device 238 is implemented as a differential amplifier. In other embodiments, the differential device 238 can be implemented as an A/D converter, or other types of suitable devices.
The operation of the image sensor 200 is described below with reference to both
Then, the first sampling transistor 220 is pulsed to sense the buffered voltage from the floating node 206 (line 310). The sensed first voltage V1 is stored in the first sampling capacitor 226. A second voltage is also sampled by pulsing the second sampling transistor 222 (line 312). The sensed second voltage V2 is stored in the second sampling capacitor 228. In the illustrated embodiment, the second sampling transistor 222 is pulsed immediately after the first sampling transistor 220 is pulsed. In another embodiment, pulsing the second sampling transistor 222 can be delayed for a preset time period. In a further embodiment, the first and second sampling transistors can be pulsed generally simultaneously.
After the first and second sampling voltages are acquired, the averaging transistor is pulsed so that the first and second sampling capacitors 226, 228 form a closed circuit (line 314). The charges stored in the first and second sampling capacitors 226, 228 are then equalized via charge sharing. As a result, the first and second voltages stored in the first and second sampling capacitors 226, 228, respectively, are averaged to derive an average voltage Vavg as follows:
where Vavg is the average voltage, Vi is the sampled voltage, and n is the number of samples. The differential device 238 then subtracts the average voltage Vavg from the reset voltage Vreset to derive an output voltage Voutput as follows:
V
output
=V
reset
−V
avg
Then, the transfer transistor 204 is pulsed to transfer accumulated charges from the light sensing element 202 to the floating node 206. As a result, the floating node 206 acquires a new voltage of about 2.25V. The source-follower transistor 208 buffers this new voltage on the column bitline 216. Then, the first sampling transistor 220 is pulsed (diagram 404) to acquire the first voltage on the column bitline 216 V1 (≈1.07 volts, diagram 408). Subsequently, the second sampling transistor 222 is pulsed (diagram 404) to acquire the second voltage V2 (≈1.09 volts, diagram 408). Then, the averaging transistor 232 is pulsed (diagram 404) to equalize the charges on the first and second sampling capacitors 226, 228. As a result, the first and second voltages are averaged, and the voltage on either capacitor 226, 228 is now Vavg (≈1.08 volts, diagram 408).
By averaging the first and second sampled voltages, the readout noise from the image sensor 200 can be reduced. Without being bound by theory, it is believed that the standard deviation of the average of multiple samples can be reduced from the standard deviation of each individual sample by a factor of the square root of the reciprocal of the number of samples as indicated in the following formula:
where δave is the standard deviation of the average, δ is the standard deviation of the sample, and n is the number of samples. As a result, increasing the number of samples results in a decrease in the standard deviation of the average value of the samples. Accordingly, sampling the voltage from the floating node multiple times and averaging the sampled voltages can reduce the read noise from the floating node 206.
One expected advantage of several embodiments of the image sensor 200 shown in
Even though the image sensor 200 is illustrated as having two sampling transistors 220, 222 and a reset sampling transistor 234, additional sampling transistors and reset sampling transistors and capacitors can also be incorporated. As shown in
From the foregoing, it will be appreciated that specific embodiments of the invention have been described herein for purposes of illustration, but that various modifications may be made without deviating from the invention. Certain aspects of the invention described in the context of particular embodiments may be combined or eliminated in other embodiments. Further, while advantages associated with certain embodiments of the invention have been described in the context of those embodiments, other embodiments may also exhibit such advantages, and not all embodiments need necessarily exhibit such advantages to fall within the scope of the invention. Accordingly, the invention is not limited except as by the appended claims.