This application provides image processing methods and apparatuses that may be applied to vehicles such as an intelligent vehicle, a new energy vehicle, a connected vehicle, and an intelligent driving vehicle. An example image processing method includes: obtaining a current frame image, where the current frame image includes a flickering line; determining, based on the current frame image, an interference source frequency that causes the flickering line; and adjusting an exposure time of a next frame based on the interference source frequency to obtain a next frame image that does not include a flickering line.

This application provides image processing methods and apparatuses that may be applied to vehicles such as an intelligent vehicle, a new energy vehicle, a connected vehicle, and an intelligent driving vehicle. An example image processing method includes: obtaining a current frame image, where the current frame image includes a flickering line; determining, based on the current frame image, an interference source frequency that causes the flickering line; and adjusting an exposure time of a next frame based on the interference source frequency to obtain a next frame image that does not include a flickering line.

The present disclosure relates to an imaging device, a camera module, an electronic device, and an imaging system capable of optically correcting a peripheral light amount decrease caused by an optical characteristic of a lens instead of correcting by signal processing. An optical block includes a lens and a center gradation ND filter, and in the ND filter, at least a light transmittance of a peripheral portion corresponding to an outer peripheral portion of the lens is larger than a light transmittance in a vicinity of an optical axis of the lens. The present disclosure can be applied to a biometric authentication system.

The present disclosure relates to an imaging device, a camera module, an electronic device, and an imaging system capable of optically correcting a peripheral light amount decrease caused by an optical characteristic of a lens instead of correcting by signal processing. An optical block includes a lens and a center gradation ND filter, and in the ND filter, at least a light transmittance of a peripheral portion corresponding to an outer peripheral portion of the lens is larger than a light transmittance in a vicinity of an optical axis of the lens. The present disclosure can be applied to a biometric authentication system.

An imaging device includes an imaging element including a photodiode division pixel, and a control unit. The control unit performs control such that, as reading corresponding to one frame of an image in a case where rolling shutter reading from the imaging element is performed, first reading that reads an addition value of a first pixel and a second pixel constituting the photodiode division pixel for all pixels as image generation targets, and second reading that can obtain a value of the first pixel and a value of the second pixel for some pixels of pixels as image generation targets are performed in a time division manner, and an exposure period for the first reading and an exposure period for the second reading are separately provided.

An imaging device includes an imaging element including a photodiode division pixel, and a control unit. The control unit performs control such that, as reading corresponding to one frame of an image in a case where rolling shutter reading from the imaging element is performed, first reading that reads an addition value of a first pixel and a second pixel constituting the photodiode division pixel for all pixels as image generation targets, and second reading that can obtain a value of the first pixel and a value of the second pixel for some pixels of pixels as image generation targets are performed in a time division manner, and an exposure period for the first reading and an exposure period for the second reading are separately provided.

A control device includes a processor. The processor controls an image sensor to read out first imaging signals in a first readout period, the first imaging signals being signals from a first quantity of pixels, and read out second imaging signals in a second readout period, the second imaging signals being signals from a second quantity of pixels, the second quantity being smaller than the first quantity, the second readout period being shorter than the first readout period. The processor controls a light source to emit first illumination light in a first exposure period before the first readout period, and emit second illumination light in a second exposure period before the second readout period. The processor generates a display image from the first imaging signals. The processor generates a support image from the second imaging signals. The processor generates support information based on the support image.

A control device includes a processor. The processor controls an image sensor to read out first imaging signals in a first readout period, the first imaging signals being signals from a first quantity of pixels, and read out second imaging signals in a second readout period, the second imaging signals being signals from a second quantity of pixels, the second quantity being smaller than the first quantity, the second readout period being shorter than the first readout period. The processor controls a light source to emit first illumination light in a first exposure period before the first readout period, and emit second illumination light in a second exposure period before the second readout period. The processor generates a display image from the first imaging signals. The processor generates a support image from the second imaging signals. The processor generates support information based on the support image.

Fixed pattern noise (FPN) reduction techniques in image sensors operated with pulse illumination are disclosed herein. In one embodiment, a method includes, during a first sub-exposure period of a frame, (a) operating a first tap of a pixel to capture a first signal corresponding to first charge at a first floating diffusion, the first charge corresponding to first light incident on a photosensor, and (b) operating a second tap of the pixel to capture a first parasitic signal corresponding to FPN at a second floating diffusion. The method further includes, during a second sub-exposure period of the frame, (a) operating the second tap to capture a second signal corresponding to second charge at the second floating diffusion, the second charge corresponding to second light incident on the photosensor, and (b) operating the first tap to capture a second parasitic signal corresponding to FPN at the first floating diffusion.

Fixed pattern noise (FPN) reduction techniques in image sensors operated with pulse illumination are disclosed herein. In one embodiment, a method includes, during a first sub-exposure period of a frame, (a) operating a first tap of a pixel to capture a first signal corresponding to first charge at a first floating diffusion, the first charge corresponding to first light incident on a photosensor, and (b) operating a second tap of the pixel to capture a first parasitic signal corresponding to FPN at a second floating diffusion. The method further includes, during a second sub-exposure period of the frame, (a) operating the second tap to capture a second signal corresponding to second charge at the second floating diffusion, the second charge corresponding to second light incident on the photosensor, and (b) operating the first tap to capture a second parasitic signal corresponding to FPN at the first floating diffusion.