Abstract: An image sensor comprising a pixel array including a plurality of pixels, each of the plurality of pixels including a first photoelectric conversion element and a second photoelectric conversion element, a microlens on the first and second photoelectric conversion elements, wherein each of the plurality of pixels is configured to generate an output signal; and a disparity processor configured to generate a disparity of the output signal. The disparity represents a difference between first pixel values of a first sub output signal and second pixel values of a second sub output signal, the first sub output signal being associated with the first photoelectric conversion element of the output signal and the second sub output signal being associated with the second photoelectric conversion element of the output signal, and the first sub output signal and the second sub output signal are combined to be generated as the output signal.

Abstract: An image signal processor includes a register and a disparity correction unit. The register stores disparity data obtained from a pattern image data that an image senor generates, and the image sensor includes a plurality of pixels, and each of the pixel includes at least a first photoelectric conversion element and a second photoelectric conversion element. The image sensor generates the pattern image data in response to a pattern image located at a first distance from the image sensor. The disparity correction unit corrects a disparity distortion of an image data based on the disparity data to generate a result image data, and the image senor generates the image data by capturing an object.

Abstract: An image processing method of processing image data generated by an image sensor, the image sensor including a pixel array, includes calculating position information according to pixel positions in the image data, the pixel positions corresponding to pixels of the pixel array, and correcting a phase difference of the image data based on the position information.

Abstract: An image processing device and an image processing method are provided. The image processing device includes an image sensor configured to sense and output a raw image and an image signal processor configured to compare pixel values of the raw image with a reference level to classify a saturation color image and a non-saturation color image, calculate a first fixed pattern noise from the saturation color image, calculate a second fixed pattern noise from the non-saturation color image, generate a final fixed pattern noise by combining the first fixed pattern noise with the second fixed pattern noise, and output a revised image by subtracting the final fixed pattern noise from the raw image.

Abstract: An image processing method for converting a color space of input image data including color information is provided. The image processing method includes: preprocessing the input image data according to a frequency thereof to generate a preprocessed result; and color-converting the preprocessed result to generate output image data. The color space of the input image data is different from a color space of the output image data.

Abstract: A method of operating an image sensor, the image sensor including a pixel array of a plurality of red pixels, a plurality of green pixels, a plurality of blue pixels, and a plurality of white pixels, includes selecting a first green pixel and a second green pixel arranged on a first axis parallel to a first diagonal direction, selecting a third green pixel and a fourth green pixel arranged on a second axis parallel to a second diagonal direction, generating a first green binning pixel by performing a first diagonal binning operation on the first green pixel and the second green pixel, generating a second green binning pixel by performing a second diagonal binning operation on the third green pixel and the fourth green pixel, and generating image data corresponding to the first green binning pixel and the second green binning pixel.

Abstract: An image sensor includes; a pixel array disposed in a Bayer pattern and including pixels which respectively generate electrical charge according to received light incident, and an analog logic configured to convert an analog signal output from at least one pixel among the pixels into a first digital code using analog-to-digital conversion, and convert the first digital code into a second digital code by adjusting low-order bits of the first digital code in response to a control signal.

Abstract: An operating method of an imaging device comprising a plurality of shared pixels that share a floating diffusion node and each comprising sub-pixels covered by a micro-lens. The method involves generating a capture image from the plurality of shared pixels that receive light reflected from an object; compensating for the capture image using static phase information based on misalignment of the micro lens of each of the plurality of shared pixels; performing auto exposure control based on the compensation of the capture image; performing auto focus control based on the compensated capture image; and generating an output image by processing the compensated capture image.

Abstract: An image signal processor includes a register and a disparity correction unit. The register stores disparity data obtained from a pattern image data that an image senor generates, and the image sensor includes a plurality of pixels, and each of the pixel includes at least a first photoelectric conversion element and a second photoelectric conversion element. The image sensor generates the pattern image data in response to a pattern image located at a first distance from the image sensor. The disparity correction unit corrects a disparity distortion of an image data based on the disparity data to generate a result image data, and the image senor generates the image data by capturing an object.

Abstract: An image sensor includes a pixel array including a plurality of pixels provided in a plurality of rows and a plurality of columns, and a signal processor configured to process first image data generated by the pixel array to generate a plurality of pieces of first full color image data, wherein the signal processor is further configured to split the first image data into a plurality of pieces of phase data, remosaic-process each of the plurality of pieces of phase data to generate a plurality of pieces of color phase data, merge the plurality of pieces of color phase data corresponding to a same color, respectively, to generate a plurality of pieces of preliminary color data, and compensate for the plurality of pieces of preliminary color data to generate the plurality of pieces of first full color image data.

Abstract: An image signal processor includes a register and a disparity correction unit. The register stores disparity data obtained from a pattern image data that an image senor generates, and the image sensor includes a plurality of pixels, and each of the pixel includes at least a first photoelectric conversion element and a second photoelectric conversion element. The image sensor generates the pattern image data in response to a pattern image located at a first distance from the image sensor. The disparity correction unit corrects a disparity distortion of an image data based on the disparity data to generate a result image data, and the image senor generates the image data by capturing an object.

Abstract: An electronic device includes an image sensor configured to capture a target to generate first image data, and a processor configured to perform directional interpolation on a first area of the first image data to generate first partial image data, perform upscale on a second area of the first image data to generate second partial image data, and combine the first partial image data and the second partial image data to generate second image data.

Abstract: An image sensor having improved image quality is provided. The image sensor includes a first array of pixels, a second array of pixels, and a binning module. The first array of pixels has a color pattern formed in an n×m array and includes at least first-color pixels, second-color pixels, and third color-pixels. The second array of pixels is adjacent to the first array of pixels and has the same color pattern formed in an n×m array as the first array of pixels, to include at least first-color pixels, second-color pixels, and third color-pixels. The binning module is configured to, for a sensed image: perform binning on the first-color pixels of the first array, the first-color pixels of the second array, the second-color pixels of the first array, and the third-color pixels of the second array, and not perform binning on the third-color pixels of the first array, and not perform binning on the second-color pixels of the second array.

Abstract: An image processing device and an image processing method are provided. The image processing device includes an image sensor configured to sense and output a raw image and an image signal processor configured to compare pixel values of the raw image with a reference level to classify a saturation color image and a non-saturation color image, calculate a first fixed pattern noise from the saturation color image, calculate a second fixed pattern noise from the non-saturation color image, generate a final fixed pattern noise by combining the first fixed pattern noise with the second fixed pattern noise, and output a revised image by subtracting the final fixed pattern noise from the raw image.

Abstract: An image processing method of processing image data generated by an image sensor, the image sensor including a pixel array, includes calculating position information according to pixel positions in the image data, the pixel positions corresponding to pixels of the pixel array, and correcting a phase difference of the image data based on the position information.

Abstract: An operating method of an imaging device comprising a plurality of shared pixels that share a floating diffusion node and each comprising sub-pixels covered by a micro-lens. The method involves generating a capture image from the plurality of shared pixels that receive light reflected from an object; compensating for the capture image using static phase information based on misalignment of the micro lens of each of the plurality of shared pixels; performing auto exposure control based on the compensation of the capture image; performing auto focus control based on the compensated capture image; and generating an output image by processing the compensated capture image.

Abstract: 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.

Abstract: A method of operating an image sensor, the image sensor including a pixel array of a plurality of red pixels, a plurality of green pixels, a plurality of blue pixels, and a plurality of white pixels, includes selecting a first green pixel and a second green pixel arranged on a first axis parallel to a first diagonal direction, selecting a third green pixel and a fourth green pixel arranged on a second axis parallel to a second diagonal direction, generating a first green binning pixel by performing a first diagonal binning operation on the first green pixel and the second green pixel, generating a second green binning pixel by performing a second diagonal binning operation on the third green pixel and the fourth green pixel, and generating image data corresponding to the first green binning pixel and the second green binning pixel.

Abstract: An image sensor having improved image quality is provided. The image sensor includes a first array of pixels, a second array of pixels, and a binning module. The first array of pixels has a color pattern formed in an n×m array and includes at least first-color pixels, second-color pixels, and third color-pixels. The second array of pixels is adjacent to the first array of pixels and has the same color pattern formed in an n×m array as the first array of pixels, to include at least first-color pixels, second-color pixels, and third color-pixels.

Abstract: An operating method of an imaging device comprising a plurality of shared pixels that share a floating diffusion node and each comprising sub-pixels covered by a micro-lens. The method involves generating a capture image from the plurality of shared pixels that receive light reflected from an object; compensating for the capture image using static phase information based on misalignment of the micro lens of each of the plurality of shared pixels; performing auto exposure control based on the compensation of the capture image; performing auto focus control based on the compensated capture image; and generating an output image by processing the compensated capture image.