A method, apparatus, and non-transitory computer readable medium for color reduction based on image segmentation are described. The method, apparatus, and non-transitory computer readable medium may provide for segmenting an input image into a plurality of regions, assigning a weight to each region, identifying one or more colors for each of the regions, selecting a color palette based on the one or more colors for each of the regions and the corresponding weight for each of the regions, and performing a color reduction on the input image using the selected color palette to produce a color reduced image. The weight assigned to each region may depend on factors including relevance, prominence, focus, position, or any combination thereof.

Embodiments of this disclosure disclose an image processing method and apparatus, a terminal, and a storage medium. The method includes: obtaining a to-be-processed negative image and initial color values of pixels in the negative image in a first color space; inverting the negative image to obtain inverted image data, inverted color values of pixels in the inverted image data being determined according to the initial color values of the pixels in the negative image; performing value equalization on intermediate color values of the pixels in a range corresponding to a second color space according to the inverted image data, to obtain digital color values of the pixels; and obtaining digital image data of the negative image according to the digital color values of the pixels.

This application discloses an image processing method and a related apparatus, to support display of an HDR image, display more dynamic ranges and image details, provide richer colors, and improve user experience. The image processing method includes: obtaining a first RGB image, where the first RGB image is an RGB image sensed by a photographing apparatus; converting the first RGB image into a second RGB image, where the second RGB image is an image meeting a BT2020 color gamut range; determining a first luminance value corresponding to the second RGB image, where the first luminance value indicates maximum luminance of each frame of image in the second RGB image; determining a target image based on the first luminance value and the second RGB image; and sending the target image to a display apparatus, so that the display apparatus displays the target image.

This application discloses an image generation method and apparatus, and an electronic device, and relates to the field of image processing. The method includes: acquiring a spectrum image of a first scene by using a first camera that supports more photosensitive bands than a second camera, and acquiring a color image of a second scene by using a second camera, where both the color image and the spectrum image include a same target object; then, correcting a color cast of a reconstructed spectrum image of the color image based on the spectrum image, to acquire a plurality of corrected reconstructed spectrum images; and fusing the plurality of corrected reconstructed spectrum images to generate a corrected color image whose color is closer to a color of the second scene than a color of the color image.

The disclosure discloses methods and systems for handling drifting of colors in printing. The method includes receiving a document including the image for printing, the image includes one or more gray and non-gray portions. An input from a user to selectively adjust the color of the gray portions of the image is received. The gray portions of the image are identified. Then, color values associated with the identified gray portions of the image are determined. Based on the user input, the determined color values associated with the gray portions of the image are selectively adjusted, without affecting non-gray color portions of the image to generate an updated image. The updated image is printed and the printed image includes adjusted color for the gray portions of the image such that gray color in the printed image is consistent with gray color of the image in the document.

Methods and systems for the display management of HDR video signals are presented. The mapping is based on tone mapping and color volume mapping which map an input signal with an input dynamic range and color volume to a target display with a target dynamic range and color volume. Both a global tone-mapping and precision-mapping methods using pyramid filtering are presented.

A device for estimating a scene illumination color for a source image is configured to: determine a set of candidate illuminants and for each of the candidate illuminants, determine a respective correction of the source image; for each of the candidate illuminants, apply the respective correction to the source image to form a corresponding set of corrected images; for each corrected image from the set of corrected images, implement a trained data-driven model to estimate a respective probability of achromaticity of the respective corrected image; and based on the estimated probabilities of achromaticity for the set of corrected images, obtain a final estimate of the scene illumination color for the source image. This approach allows for the evaluation of multiple candidate illuminates to determine an estimate of the scene illumination color.

Provided are a white balance abnormality determination method and apparatus, a storage medium, and an electronic device. The method includes: acquiring at least one target block in a first channel image, and acquiring at least one reference block in a second channel image for each target block, where the first channel image is adjacent to the second channel image; determining a color feature representative value of each target block and a color feature representative value of each reference block associated with a position of a respective target block; determining, a color feature difference value between the first channel image and the second channel image; determining whether a white balance abnormality image exists in the first channel image and the second channel image; and in a case where a white balance abnormality image exists in the first channel image and the second channel image, adjusting the white balance abnormality image.

Apparatuses, systems, and methods related to an image processor formed in an array of memory cells are described. An image processor as described herein is configured to reduce complexity and power consumption and/or increase data access bandwidth by performing image processing in the array of memory cells relative to image processing by a host processor external to the memory array. For instance, one apparatus described herein includes sensor circuitry configured to provide an input vector, as a plurality of bits that corresponds to a plurality of color components for an image pixel, and an image processor formed in an array of memory cells. The image processor is coupled to the sensor circuitry to receive the plurality of bits of the input vector. The image processor is configured to perform a color correction operation in the array by performing matrix multiplication on the input vector and a parameter matrix to determine an output vector that is color corrected.

A method and device for adjusting white balance and non-transitory computer readable storage medium are provided. The method is applied to a terminal including at least two cameras of different types and the method includes that whether a present capturing environmental parameter satisfies a first predetermined condition is determined while a first camera of the at least two cameras is performing a capturing operation; responsive to a determination that the present capturing environmental parameter satisfies the first predetermined condition, a second camera of the at least two cameras is pre-started while an image captured by the first camera is being displayed on a display of the terminal; a target white balance gain value corresponding to the second camera is determined according to an image presently captured by the second camera; when the present capturing environmental parameter satisfies a second predetermined condition, starting the second camera, wherein the second predetermined condition is closer to a capturing environmental parameter of the second camera than the first predetermined condition; and after the second camera is started, the white balance is adjusted on the image captured by the second camera according to the target white balance gain value.