H04N25/447

IMAGE SENSING APPARATUS AND IMAGE BINNING METHOD THEREOF

Provided is an image sensing apparatus including an image sensor including a pixel array configured to output a raw image having a Bayer pattern, and an analog end configured to perform an analog binning process on groups of pixels of same colors included in same columns of each of a plurality of sub-kernels corresponding to a first green pixel, a red pixel, a blue pixel, and a second green pixel, and output median values for different colors, and a digital signal processor configured to perform a digital binning process on the median values for the different colors included in different columns of each of the plurality of sub-kernels, and output a binned image.

Imaging device and signal processing device
11159754 · 2021-10-26 · ·

An imaging device includes an image pickup device having pixels and a correction processing unit that corrects signals output from the image pickup device, the pixels include a visible light pixel that receives light corresponding to a visible light wavelength range and an infrared light pixel that is arranged adjacent to the visible light pixel and receives light corresponding to an infrared wavelength range, and the correction processing unit includes a calculation unit that performs a first process of reducing, from a signal of the infrared light pixel, a component in the pixel signal of the infrared light pixel and based on an inflow amount of charges to the infrared light pixel from another pixel adjacent to the infrared light pixel and a second process of obtaining a signal corresponding to a difference between pixel signals of the visible light pixel and the infrared light pixel after the first process.

Solid-state imaging apparatus, driving method of the solid-state imaging apparatus, and electronic equipment
11146752 · 2021-10-12 · ·

A solid-state imaging apparatus includes: a pixel array section in which pixels including photoelectric conversion elements are two-dimensionally arranged in a matrix form, and a plurality of systematic pixel drive lines to transmit drive signals to read out signals from the pixels are arranged for each pixel row; and a row scanning section to simultaneously output the drive signals through the plurality of systematic pixel drive lines to a plurality of pixel rows for different pixel columns.

Methods and systems for reconstructing a high frame rate high resolution video

Methods and systems for reconstructing a high frame rate high resolution video in a Bayer domain, when an imaging device is set in a Flexible Sub-Sampled Readout (FSR) mode are described. A method provides the FSR mode, which utilizes a multiparty FSR mechanism to spatially and temporally sample the full frame Bayer data. The multi parity FSR utilizes a zigzag sampling that assists reconstruction of motion compensated artifact free high frame rate high resolution video with full frame size. The method includes reconstructing the high frame rate high resolution video using the plurality of parity fields generated. The reconstruction is based on a FSR reconstruction mechanism that can be a pre-Image Signal Processor (ISP) FSR reconstruction or a post-ISP FSP reconstruction based on bandwidth capacity of an ISP used by the imaging device.

IMAGE SENSOR MODULE AND IMAGE SENSOR DEVICE INCLUDING THE SAME
20210266487 · 2021-08-26 ·

Disclosed is an image sensor module which includes a pixel array including a plurality of sub-pixels arranged along a plurality of rows and a plurality of columns, an analog to digital converter connected to the pixel array through a plurality of data lines and converting signals output from the plurality of sub-pixels into digital signals, a row decoder connected to the pixel array through a plurality of selection lines, a plurality of transfer lines, and a plurality of reset lines, and a control logic circuit controlling the analog to digital converter and the row decoder to allow a plurality of sub-frames to be sequentially outputted from the plurality of sub-pixels, wherein each of the plurality of sub-frames is generated based on signals output from different sub-pixels among the plurality of sub-pixels.

Imaging device camera system and driving method of the same

An imaging device including an electronic shutter and a pixel array with color pixels with different characteristics of spectral sensitivity arranged. The pixel array part has at least one clear pixel, the plurality of color pixels including at least two of (i) a first color filter pixel having a peak of spectral sensitivity characteristics for red, (ii) a second color filter pixel having a peak for blue, and (iii) a third color filter pixel having a peak for green. The clear pixel has a high transmittance arranged in an oblique pixel array system at a given position of a given row and a given column with respect to the first color filter pixel, the second color filter pixel, and the third color filter pixel. An electronic shutter is separately driven for the at least one clear pixel and for the plurality of color filter pixels.

METHODS AND SYSTEMS FOR RECONSTRUCTING A HIGH FRAME RATE HIGH RESOLUTION VIDEO

Methods and systems for reconstructing a high frame rate high resolution video in a Bayer domain, when an imaging device is set in a Flexible Sub-Sampled Readout (FSR) mode are described. A method provides the FSR mode, which utilizes a multiparty FSR mechanism to spatially and temporally sample the full frame Bayer data. The multi parity FSR utilizes a zigzag sampling that assists reconstruction of motion compensated artifact free high frame rate high resolution video with full frame size. The method includes reconstructing the high frame rate high resolution video using the plurality of parity fields generated. The reconstruction is based on a FSR reconstruction mechanism that can be a pre-Image Signal Processor (ISP) FSR reconstruction or a post-ISP FSP reconstruction based on bandwidth capacity of an ISP used by the imaging device.

Image sensor supporting various operating modes and operating method thereof

Disclosed is an image sensor. The image sensor includes an active pixel sensor array including first to fourth pixel units sequentially arranged in a column direction, and each of the first to fourth pixel units is composed of a plurality of pixels. A first pixel group including the first and second pixel units is connected to a first column line, and a second pixel group including the third pixel unit and the fourth pixel unit is connected to a second column line. The image sensor includes a correlated double sampling circuit including first and second correlated double samplers and configured to convert a first sense voltage sensed from a selected pixel of the first pixel group and a second sense voltage sensed from a selected pixel of the second pixel group into a first correlated double sampling signal and a second correlated double sampling signal, respectively.

IMAGES FOR PERCEPTION MODULES OF AUTONOMOUS VEHICLES
20210256664 · 2021-08-19 ·

Disclosed are devices, systems and methods for processing an image. In one aspect a method includes receiving an image from a sensor array including an x-y array of pixels, each pixel in the x-y array of pixels having a value selected from one of three primary colors, based on a corresponding x-y value in a mask pattern. The method may further include generating a preprocessed image by performing preprocessing on the image. The method may further include performing perception on the preprocessed image to determine one or more outlines of physical objects.

Electronic device and image up-sampling method for electronic device
11070751 · 2021-07-20 · ·

An electronic device according to various embodiments of the present invention comprises an image sensor and a processor, wherein the image sensor comprises a microlens and a light-receiving sensor pixel capable of converting light having passed through the microlens into an electrical signal, the light-receiving sensor pixel comprises a first floating diffusion area and a second floating diffusion area, the light-receiving sensor pixel is set, as a first area and a second area having different sizes, in accordance with the activation of either the first floating diffusion area or the second floating diffusion area, a signal generated by the light-receiving sensor pixel can be classified and read out as a first signal corresponding to the first area and a second signal corresponding to the second area, and the processor can be set so as to: use the image sensor so as to activate the first floating diffusion area, thereby acquiring a first image of an external object; use the image sensor so as to activate the second floating diffusion area, thereby acquiring a second image of the external object; and synthesize at least a portion of the first image and at least a portion of the second image, thereby generating a third image having a resolution higher than that of the first or second image. Additional various embodiments are possible.