An object of the present invention is to reduce time required for calibration between gains in a level control circuit. The level control circuit performs, using any of first and second gains that differ from each other, level control of an analog signal output to a vertical signal line that corresponds to each column of a pixel array. An analog-digital converter converts the level-controlled analog signal into a digital signal. A test signal generating unit generates first and second test signals that differ from each other. A gain ratio acquiring unit simultaneously supplies one of the vertical signal lines with the first test signal and supplies another of the vertical signal lines with the second test signal to acquire a gain ratio between the first gain and the second gain of the level control circuit.

In some embodiments, an image sensor is provided. A signal processing unit of the image sensor is configured with executable instructions that cause the signal processing unit to perform actions comprising: reading a captured scene from a pixel array; reading a value from a test initiation register; in response to determining that the value indicates a test mode: processing the captured scene to detect a region of interest associated with the value; and providing the region of interest to a first interface for transmission to a host device; and in response to determining that the value does not indicate the test mode: analyzing the captured scene using a computer vision technique to selectively generate a signal based on the analysis of the captured scene; and selectively providing the signal to a second interface for transmission to the host device.

In some embodiments, an image sensor is provided. A signal processing unit of the image sensor is configured with executable instructions that cause the signal processing unit to perform actions comprising: reading a captured scene from a pixel array; reading a value from a test initiation register; in response to determining that the value indicates a test mode: processing the captured scene to detect a region of interest associated with the value; and providing the region of interest to a first interface for transmission to a host device; and in response to determining that the value does not indicate the test mode: analyzing the captured scene using a computer vision technique to selectively generate a signal based on the analysis of the captured scene; and selectively providing the signal to a second interface for transmission to the host device.

An image sensor may be formed from stacked first and second substrates. An array of imaging pixels that each have a photodiode and accompanying transistors may be formed in the first substrate. Verification circuitry may also be formed in the first substrate. Row control circuitry may be formed in the second substrate. The row control circuitry may provide row control signals to the array of imaging pixels. The verification circuitry may also receive the row control signals from the row control circuitry. The first substrate may include a plurality of n-channel metal-oxide semiconductor transistors and may not include any p-channel metal-oxide semiconductor transistors. The second substrate may also include a p-channel metal-oxide semiconductor current source coupled to the verification circuitry. Only the verification circuitry portions that are enabled by control signals from the row control circuitry may receive current from the current source.

Provided is an image processing apparatus for correcting blinking defect noise contained in image data generated by an image sensor. The image sensor includes a pixels arranged two-dimensionally and reading circuits configured to read a pixel value. The image processing apparatus includes: an information acquisition unit configured to acquire noise information that is defined by associating positional information of the reading circuits or positional information of each of the pixels with feature data related to the blinking defect noise caused by the reading circuits; an estimation unit configured to estimate a random noise amount in a pixel of interest based on the feature data and a random noise model for estimating the random noise amount in the pixel of interest; and a correction unit configured to correct a pixel value of the pixel of interest based on the random noise amount estimated by the estimation unit.

Disclosed herein is an image sensor and a method of making the image sensor. The image sensor may comprise one or more packages of semiconductor radiation detectors. Each of the one or more packages may comprise a radiation detector that comprises a radiation absorption layer on a first strip of semiconductor wafer and an electronics layer on a second strip of semiconductor wafer. The radiation absorption layer may be continuous along the first strip of semiconductor wafer with no coverage gap. The first strip and the second strip may be longitudinally aligned and bonded together. The radiation detector may be mounted on a printed circuit board (PCB) and electrically connected to the PCB close to an edge of the radiation detector.

A semiconductor device in which a plurality of substrates including a first substrate and a second substrate are stacked, wherein the first substrate includes a pixel unit in which a plurality of pixels are arranged, the second substrate includes a control circuit configured to control the semiconductor device, and the first substrate further includes a detection circuit configured to detect a connection state of a connection portion between the first substrate and the second substrate.

An image processing method including generating a captured image corresponding to a pupil region from an input image acquired by an image sensor in which a plurality of pixels each having a plurality of photoelectric conversion parts for receiving light fluxes passing through the different pupil partial regions of an image-forming optical system is arrayed, generating, from the input image, viewpoint images at each of the different pupil partial regions, generating corrected viewpoint images by executing light amount correction processing of each of the viewpoint images based on the captured image and the viewpoint images, executing gamma adjustment of the captured image and gamma adjustment of the corrected viewpoint images based on a signal luminance distribution of the captured image and signal luminance distributions of the corrected viewpoint images, and combining the captured image and the corrected viewpoint images according to subject luminance.

In an image capturing apparatus, an image sensing device includes a plurality of groups of pixels each including a plurality of photoelectric conversion elements, signals from the plurality of photoelectric conversion elements being readable separately for each photoelectric conversion element via a signal line used in common by each group of pixels. A reading unit performs, on a plurality of groups of pixels, a reading-out operation to reading out a signal as a first signal from part of the plurality of photoelectric conversion elements and a second reading-out operation to mix signals from the plurality of photoelectric conversion elements and read out a resultant mixed signal as an image signal. A generation unit generates one image file including the first signal, the image signal, and defect data indicating a group of pixels for which the first signal is defective while the image signal is not defective.

Contrast adjustment of a digital image can include using at least two signal processing paths to adjust a display-formatted pixel value to enhance the appearance of edges in displayed image data. A digital image can be filtered by producing an edge enhancement factor, ?, per pixel from at least one look up table (LUT). Digital image data can also be adjusted using at least two signal processing paths, where the image data is adjusted if a pixel value and its neighboring pixel values are all within a smoothing range or where the pixel delta value is outside of a bad pixel range and its neighboring pixel delta values are all within the bad pixel range. In such cases, the image data can be adjusted by replacing the pixel value with an average or median value of the neighboring pixels.