An image sensor includes a pixel array, a row driver, a detector, an analog-to-digital converter and a controller. The pixel array includes a pixel area including a pixel and a dummy area including a monitoring circuit. The dummy area is disposed on a same substrate as the pixel area. The dummy area is disposed adjacent to the pixel area. The row driver is configured to output a driving signal to the pixel and the monitoring circuit. The detector is configured to receive a monitoring signal from the monitoring circuit. The analog-to-digital converter is configured to receive an analog signal corresponding to an incident light from the pixel and to convert the analog signal to a digital signal. The controller is configured to control the row driver and the analog-to-digital converter.

An image signal processor and an image sensor including the same are disclosed. An image sensor includes a pixel array configured to convert received optical signals into electrical signals, a readout circuit configured to convert the electrical signals into image data and output the image data, and an image signal processor configured to perform deep learning-based image processing on the image data based on training data selected from among first training data and second training data based on a noise level of the image data.

An image-capturing device includes: an image sensor that includes an image capturing area where an image of a subject is captured; a setting unit that sets image capturing conditions to be applied to the image-capturing area; a selection unit that selects pixels to be used for interpolation from pixels present in the image-capturing area; and a generation unit that generates an image of the subject captured in the image-capturing area with signals generated through interpolation executed by using signals output from the pixels selected by the selection unit, wherein: the selection unit makes a change in selection of at least some of the pixels to be selected depending upon the image-capturing conditions set by the setting unit.

A CMOS optical sensor comprises spare readout channels to replace readout channels found defective at the end of the manufacturing process. These spare readout channels are dispatched over the width of the optical sensor (corresponding to the row direction) in the form of spare groups G.sub.m1, G.sub.m2, Gm.sub.3 of m spare readout channels each, m integer at least equal to 1. Each spare group is inserted between two successive default groups Gn.sub.1 and Gn.sub.2 of n default readout channels each and coupling means SW1 are configured to replace a defective default readout channel in a default group as well as any default readout channels of the group between the defective one and the spare group next to the default group of concern. Advantageously, for a row Row.sub.i being currently selected for CDS reading each pixel in the row, a row noise level V.sub.RN.sub.i is obtained from the A spare readout channels that are not used in the implemented repairing scheme, by sampling an analogic DC reference signal by each of the A spare readout channels and averaging the A values Sp.sub.k obtained. The row reference value V.sub.RN.sub.i is then subtracted from each of the pixel digital signal S.sub.i,j outputs for the current selected row, to finally obtain a signal value d.sub.i,j with row noise suppression.

The system and method for super resolution processing at long standoff distances in real-time. The system collects a series of image frames and estimated the shift, rotation, and zoom parameters between each of the image frames. A matrix is generated and then an inversion is applied to the matrix to produce a super resolution image of an area of interest while mitigating the effect of any bad pixels on image quality. In some cases, the area of interest is user-defined and in some cases image chips are provided by tracking software. A fast steering mirror can be used to steer and/or dither the focal plane array.

The present technology relates to a solid-state imaging device that can improve imaging quality by reducing variation in the voltage of a charge retention unit, a method of driving the solid-state imaging device, and an electronic apparatus. A first photoelectric conversion unit generates and accumulates signal charge by receiving light that has entered a pixel, and photoelectrically converting the light. A first charge retention unit retains the generated signal charge. A first output transistor outputs the signal charge in the first charge retention unit as a pixel signal, when the pixel is selected by the first select transistor. A first voltage control transistor controls the voltage of the output end of the first output transistor. The present technology can be applied to pixels in solid-state imaging devices, for example.

The present technology relates to a solid-state imaging device that can improve imaging quality by reducing variation in the voltage of a charge retention unit, a method of driving the solid-state imaging device, and an electronic apparatus. A first photoelectric conversion unit generates and accumulates signal charge by receiving light that has entered a pixel, and photoelectrically converting the light. A first charge retention unit retains the generated signal charge. A first output transistor outputs the signal charge in the first charge retention unit as a pixel signal, when the pixel is selected by the first select transistor. A first voltage control transistor controls the voltage of the output end of the first output transistor. The present technology can be applied to pixels in solid-state imaging devices, for example.

Images can be processed using an image processing apparatus including: an image data obtaining section that obtains at least two pieces of parallax image data from an image capturing element that includes color filters and opening masks so that one color filter and one opening mask correspond to one of at least a part of photoelectric conversion elements and outputs the at least two pieces of parallax image data; and a correcting section that corrects color imbalance of a corresponding pixel caused between the at least two pieces of parallax image data, based on at least one of a position of the at least a part of photoelectric conversion elements in the image capturing element and an opening displacement of the opening mask.

A system including image sensor(s) including a plurality of pixels arranged on a photo-sensitive surface thereof; and image signal processor(s) configured to: receive, from image sensor(s), a plurality of image signals captured by corresponding pixels of image sensor(s); and process the plurality of image signals to generate at least one image, wherein, when processing, image signal processor(s) is configured to: determine, for a given image signal to be processed, a position of a given pixel on the photo-sensitive surface that is employed to capture the given image signal; and selectively perform a sequence of image signal processes on the given image signal and control a plurality of parameters employed for performing the sequence of image signal processes, based on the position of the given pixel.

A system including image sensor(s) including a plurality of pixels arranged on a photo-sensitive surface thereof; and image signal processor(s) configured to: receive, from image sensor(s), a plurality of image signals captured by corresponding pixels of image sensor(s); and process the plurality of image signals to generate at least one image, wherein, when processing, image signal processor(s) is configured to: determine, for a given image signal to be processed, a position of a given pixel on the photo-sensitive surface that is employed to capture the given image signal; and selectively perform a sequence of image signal processes on the given image signal and control a plurality of parameters employed for performing the sequence of image signal processes, based on the position of the given pixel.