H04N9/67

Image signal processing for reducing lens flare

Flare compensation includes receiving a first image and a second image; converting the first and the second images from an RGB domain to a YUV domain; obtaining an intensity differences profile along a stitch line between the first and the second images, where the intensity differences profile is obtained for the Y component; obtaining a dark corner intensity differences profile between the first and the second images based on a relative illumination of an area outside a first image circle of the first image and a second image circle of the second image, where the dark corner intensity differences profile is obtained for the Y component; obtaining a flare profile using the intensity differences profile and the dark corner intensity differences profile; converting the flare profile of the Y component to an RGB flare profile; and modifying one of the first or second images based on the RGB flare profile.

Image signal processing for reducing lens flare

Flare compensation includes receiving a first image and a second image; converting the first and the second images from an RGB domain to a YUV domain; obtaining an intensity differences profile along a stitch line between the first and the second images, where the intensity differences profile is obtained for the Y component; obtaining a dark corner intensity differences profile between the first and the second images based on a relative illumination of an area outside a first image circle of the first image and a second image circle of the second image, where the dark corner intensity differences profile is obtained for the Y component; obtaining a flare profile using the intensity differences profile and the dark corner intensity differences profile; converting the flare profile of the Y component to an RGB flare profile; and modifying one of the first or second images based on the RGB flare profile.

Method, Apparatus and System for Determining a Luma Value
20170330349 · 2017-11-16 ·

A method of determining luma values from 4:4:4 RGB video data for encoding chroma downsampled 4:2:0 YCbCr video data into a bitstream. Initial coefficents are determined for a region of a colour space the region being one of a plurality of regions located in the colour space and each region having a plurality of associated coefficients. The determined initial coefficients are applied to an initial image to produce a test image, the test image being a chroma downsampled 4:2:0 YCbCr version of the initial image. A measure of quality is determined by comparing the initial image and the test image. The determined initial coefficients are modified to increase the determined measure of quality. Luma values are determined from 4:4:4 RGB video data for encoding chroma downsampled 4:2:0 YCbCr video data into a bitstream using the modified coefficients.

HIGH PRECISION COLOR PROCESSING FOR WIDE DYNAMIC RANGE SENSORS

A technique for image processing, comprising: receiving input image data, wherein the image data is companded into a first bit depth, wherein the image data includes incomplete color values for pixels of the image data, and wherein the image data is associated with a first color space, interpolating the image data to generate color values for the incomplete color values for pixels of the image data, expanding the image data from the first bit depth to a second bit depth, wherein the color values of the expanded image data have a linear dynamic range, and wherein the second bit depth is higher than the first bit depth, converting the color values for pixels of the expanded image data from the first color space to a second color space, and compressing the color values for pixels of the image data to a third bit depth, the third bit depth lower than the second bit depth, and wherein the compressed color values have a nonlinear dynamic range.

HIGH PRECISION COLOR PROCESSING FOR WIDE DYNAMIC RANGE SENSORS

A technique for image processing, comprising: receiving input image data, wherein the image data is companded into a first bit depth, wherein the image data includes incomplete color values for pixels of the image data, and wherein the image data is associated with a first color space, interpolating the image data to generate color values for the incomplete color values for pixels of the image data, expanding the image data from the first bit depth to a second bit depth, wherein the color values of the expanded image data have a linear dynamic range, and wherein the second bit depth is higher than the first bit depth, converting the color values for pixels of the expanded image data from the first color space to a second color space, and compressing the color values for pixels of the image data to a third bit depth, the third bit depth lower than the second bit depth, and wherein the compressed color values have a nonlinear dynamic range.

CAMERA SYSTEM, EVENT RECORDING SYSTEM AND EVENT RECORDING METHOD

To reduce complication of a configuration of a vehicle while suppressing an increase in weight of the vehicle, a camera system mounted on a vehicle includes an imaging unit to capture multiple frame images of an outside of the vehicle per cycle and an image processor to obtain the multiple frame images from the imaging unit and separate the multiple frame images into a first given number of frame images as a recognition target and a second given number of frame images as a storage target to be stored in an image recorder. The image processor separately outputs the first and second given numbers of frame images to be recognized and stored, respectively.

IMAGE PROCESSING APPARATUS AND METHOD, AND PROGRAM AND RECORDING MEDIUM
20170318190 · 2017-11-02 · ·

Based on a histogram of saturation of an input video, a saturation conversion function is determined, and, referring to the determined saturation conversion function, the saturation of each pixel of the input video is converted. Alternatively, a saturation conversion coefficient determination function is generated from the histogram, a saturation conversion coefficient is determined from the saturation conversion coefficient determination function and the saturation, and color differences are multiplied by the determined saturation conversion coefficient. Regardless of what saturation distribution the input video has, the saturation can be properly enhanced, and at the same time a high gradation expression can be obtained.

Method and system for chromatic gamut extension, corresponding apparatus and computer program product

Color images designed to be displayed, for example, with a projector such as a laser pico projector, are subjected to gamut extension in respective iso-hue paths in the CIE1931xyY color space, operating for example, as follows: a plurality of iso-hue curves in the CIE1931xyY color space is determined; for the points subjected to gamut extension, the closest iso-hue curves are identified; and extension paths to be used for the operation of gamut extension are interpolated from said closest iso-hue curves.

Method and system for chromatic gamut extension, corresponding apparatus and computer program product

Color images designed to be displayed, for example, with a projector such as a laser pico projector, are subjected to gamut extension in respective iso-hue paths in the CIE1931xyY color space, operating for example, as follows: a plurality of iso-hue curves in the CIE1931xyY color space is determined; for the points subjected to gamut extension, the closest iso-hue curves are identified; and extension paths to be used for the operation of gamut extension are interpolated from said closest iso-hue curves.

IMAGE ENCODING APPARATUS, CONTROL METHOD THEREOF, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM
20220058831 · 2022-02-24 ·

The invention provides an image encoding apparatus operable to encode data obtained by an image capturing sensor in which a filter for detecting a fourth color is periodically arranged in addition to filters of three primary colors, where the apparatus comprises a generating unit configured to generate data that approximates the fourth color using data of at least two colors among three colors, which represent three primary colors, obtained by the image capturing sensor and generate difference data that represents a difference between the generated data and data of the fourth color; and an encoding unit configured to encode data of the three colors which represent three primary colors and the difference data.