An image processing method, an image forming apparatus, and a storage medium are provided in embodiments of the present disclosure. The image processing method includes acquiring a first color component value and a second color component value of each pixel of a to-be-processed image in a preset color space; determining a color cast pixel according to the first color component value and the second color component value of each pixel; and performing pixel correction on each color cast pixel to obtain a corrected to-be-processed image. In the technical solutions of various embodiment of the present application, the color cast pixel in the to-be-processed image is determined by the first color component value and the second color component value of the pixel, and the pixel correction is performed on the color cast pixel, which removes colored noise in the printed image and improves image printing quality.

This application proposes an image processing method and a related electronic device. The method includes: detecting a first operation; starting, by an electronic device, a camera in response to the first operation; detecting a second operation; acquiring, by the camera, a first image in response to the second operation; performing first image processing on the first image to obtain a second image in a second color space, where the second color space is different from a first color space; performing second image processing on the second image to obtain a target image; and storing the target image, where the performing second image processing on the second image includes: obtaining a second parameter based on a first parameter of a first ambient light source, where the first parameter includes a white balance parameter of the first ambient light source, the second parameter has a correspondence with the first parameter, the second parameter is used to identify light source information of the first ambient light source in a third color space, and the third color space is different from the first color space and the second color space; and performing second image processing on the second image based on the second parameter.

An apparatus and a method that decrease a banding phenomenon in a subsampled image and achieve high image quality are provided. A subsampled image obtained by copying an adjacent pixel value to a pixel value thinning position is accepted as an input image; a correction target signal global gain is calculated as a ratio between a slope of a correction target signal and a slope of a luminance signal of a global region made up of a plurality of consecutive pixels including a pixel position of the correction target pixel of the input image; a luminance local slope is calculated as a slope of the luminance signal of a local region which is a region within the global region, including the pixel position of the correction target pixel of the input image and smaller than the global region; and a corrected pixel value of the correction target pixel is calculated by multiplying the luminance local slope by the correction target signal global gain and applying a multiplication result. For example, the corrected pixel value is calculated by adding a correction target signal pixel value at an end of the local region to a multiplication value.

A display unit color-correction method includes: a first step of displaying a prescribed image on a display unit of a portable communication terminal that includes an imaging unit and the display unit; a second step of acquiring imaging data by imaging a color chart, which is a printed matter, and the display unit with the prescribed image displayed thereon together or individually by the imaging unit; and a third step of correcting a color of the display unit by using color information on the prescribed image in the imaging data and color information on a color in the color chart in the imaging data.

A system for analyzing and processing user input and providing a result based on a predetermined set of color identifiers, the system comprising a first user input, wherein the first user input comprises of one or more digital images, a second user input, wherein the second user input comprises of responses to queries, a white balancing method for removing color casts from the first user input to create a final corrected image of the first user input, a first database for storing a predetermined set of color identifiers, a second database for storing product profiles, and a processor for analyzing the final corrected image of the first user input and the second user input collectively, comparing the final corrected image of the first user input and the second user input collectively to the predetermined set of color identifiers, and providing a color output.

Recording data for recording an achromatic color image having a high lightness is generated as follows. A first color material and a second color material which has a hue complementary to that of the first color material are used to record the image. Recording data is generated such that a recording amount of the first color material and a recording amount of the second color material are larger than a recording amount of another color material, and such that a pixel where it is determined that the first color material is to be recorded and a pixel where it is determined that the second color material is to be recorded are at positions different from each other.

The present application discloses an image processing method, an image processing device, and a computer device. The image processing method includes: acquiring a first to-be-processed chromaticity data set and a second to-be-processed chromaticity data set of a preset color of a to-be-processed picture, acquiring a Gaussian probability of the preset color, identifying a picture region in the to-be-processed picture that contains the preset color of the preset scene, and acquiring a color output correction value. The method of the present application can effectively improve a color cast phenomenon and a quality of the displayed picture.

An image processing method and a related electronic device. The method includes: starting a camera in response to a first operation; acquiring, by the camera, a first image in response to a second operation; performing first image processing on the first image to obtain a second image in a second color space; obtaining a second parameter based on a first parameter of a first ambient light source, where the first parameter includes a white balance parameter of the first ambient light source, the second parameter is used to identify light source information of the first ambient light source in a third color space, and the third color space is different from the first color space and the second color space; performing second image processing on the second image based on the second parameter to obtain a target image; and storing the target image.

In some embodiments, color and contrast enhancement video processing may be done in one shot instead of adjusting one of color and contrast enhancement, then the other, and then going back to the first one to readjust because of the second adjustment. In some embodiments, global lightness adjustment, local contrast enhancement, and saturation enhancement may be done at the same time and in parallel. Lightness adjustment improves visibility of details for generally dark or generally light images without changing intended lighting conditions in the original shot, and is used to enhance the range of color/saturation enhancement. Local contrast enhancement done in parallel improves visual definition of objects and textures and thus local contrast and perceived sharpness.

An image processing circuit for multi-illumination white balance with thumbnail processing. The image processing circuit determines a set of initial weights for a source pixel in a thumbnail image by determining component values for multiple color channels of the source pixel. The image processing circuit determines a set of weights for the source pixel in a weight map for the thumbnail image. Each weight in the set of weights is determined based on corresponding initial weights from the set of initial weights. Each weight in the set of weights represents an intensity level of a respective chrominance class of multiple chrominance classes for the source pixel. The image processing circuit applies the set of weights to values of the color channels of the source pixel to generate color component values of the color channels of a target pixel in a target thumbnail image.