An image processing method includes: converting a red yellow blue RYB image into a grid image based on a red green blue RGB format; generating a first brightness layer of the grid image, and determining a reference gain compensation array used to adjust the first brightness layer; obtaining, based on a preset compensation array correspondence, a target gain compensation array that is associated with the reference gain compensation array and based on an RYB format; and adjusting a second brightness layer of the RYB image by using the target gain compensation array, to generate a corrected image.

An image processing method includes: converting a red yellow blue RYB image into a grid image based on a red green blue RGB format; generating a first brightness layer of the grid image, and determining a reference gain compensation array used to adjust the first brightness layer; obtaining, based on a preset compensation array correspondence, a target gain compensation array that is associated with the reference gain compensation array and based on an RYB format; and adjusting a second brightness layer of the RYB image by using the target gain compensation array, to generate a corrected image.

Disclosed is a color transform method performed by an electronic device that includes generating an initial color transformed image by performing color transform on a raw image, determine noise amplification degrees indicating degrees to which noise included in the raw image is amplified by the color transform, processing the determined noise amplification degrees, and generating a final color transformed image by filtering the generated initial color transformed image using the processed noise amplification degrees and at least one of the raw image or luminance information of the raw image.

A system and method for displaying image data comprise receiving 2D video data, generating, from the video data, a first plurality of intensity values of virtual primaries of a first virtual color gamut and a second plurality intensity values of a second virtual color gamut, the first plurality of intensity values being below a luminance threshold and approximating a predefined color gamut and the second plurality of intensity values being above the luminance threshold, converting the first plurality of intensity values into a third plurality of intensity values of predefined primaries of a first projection head of a display system and the second plurality of intensity values into a fourth plurality of intensity values of predefined primaries of a second projection head of the display system, and dynamically adjusting pixel levels of spatial modulators of the display system based on the third plurality and the fourth plurality of intensity values.

Provided are a method and a device, for processing spectrum data of an image sensor. The method includes obtaining spectrum response signals corresponding to channels of spectrum data of light, the spectrum data being obtained from an object by an image sensor; determining a set of bases corresponding to the obtained spectrum response signals; performing, based on the determined set of bases, a change of basis on at least one basis included in the determined set of bases; and generating, by using a pseudo inverse, reconstructed spectrum data from the spectrum response signals on which the change of basis has been performed.

Provided are a method and a device, for processing spectrum data of an image sensor. The method includes obtaining spectrum response signals corresponding to channels of spectrum data of light, the spectrum data being obtained from an object by an image sensor; determining a set of bases corresponding to the obtained spectrum response signals; performing, based on the determined set of bases, a change of basis on at least one basis included in the determined set of bases; and generating, by using a pseudo inverse, reconstructed spectrum data from the spectrum response signals on which the change of basis has been performed.

An image encoding method includes a color difference signal Cr corresponding to a first pixel and a color difference signal Cb corresponding to a second pixel that are determined based on a pixel value of the first pixel, a pixel value of the second pixel, and pixel values of a third pixel and a fourth pixel that are adjacent to the first pixel. Then, an average value Co of the color difference signal Cr corresponding to the first pixel and the color difference signal Cb corresponding to the second pixel, and a difference value Cg between the color difference signal Cr and the color difference signal Cb are determined.

An image processing method for harmonizing images acquired by a first camera and a second camera connected to a vehicle and arranged in such a way as their fields of view cover a same road space at different times as the vehicle travels along a travel direction is disclosed. The method includes: acquiring by a selected camera, a first image at a first time; selecting a first region of interest bounding a road portion from the first image; sampling the first region of interest; acquiring by the other camera, a second image in such a way that the road portion is included in a second region of interest; sampling the second region of interest; and determining one or more correction parameters for harmonizing images acquired by the first and second cameras, based on a comparison between the image content of the first and second regions of interest.

An image processing method for harmonizing images acquired by a first camera and a second camera connected to a vehicle and arranged in such a way as their fields of view cover a same road space at different times as the vehicle travels along a travel direction is disclosed. The method includes: acquiring by a selected camera, a first image at a first time; selecting a first region of interest bounding a road portion from the first image; sampling the first region of interest; acquiring by the other camera, a second image in such a way that the road portion is included in a second region of interest; sampling the second region of interest; and determining one or more correction parameters for harmonizing images acquired by the first and second cameras, based on a comparison between the image content of the first and second regions of interest.

In some embodiments, a computer-implemented method of generating a visualization of wavelength-dependent surface characteristics is provided. A computing device receives an input image captured by a camera, wherein the input image includes information in a low-dimensional color space. The computing device processes the input image to determine spectrum band information in a high-dimensional color space that corresponds to the input image. The computing device extracts subtractive information from the spectrum band information to obtain wavelength-dependent surface characteristic information, The computing device generates the visualization using the wavelength-dependent surface characteristic information. In some embodiments, the computing device may be a smartphone.