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, 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.

An image processing apparatus includes a fluorescence pixel detecting unit, a peripheral pixel analyzing unit, and an image processing unit. The fluorescence pixel detecting unit is configured to detect a fluorescence pixel that has a fluorescent color in a document image. The peripheral pixel analyzing unit is configured to detect consecutive non-fluorescence pixels with no fluorescent colors among peripheral pixels within a predetermined range from the detected fluorescence pixel. The consecutive non-fluorescence pixels is at least a predetermined number of consecutive pixels and has a color difference equal to or less than a predetermined value between one and another of the consecutive non-fluorescence pixels. The image processing unit is configured to perform an emphasizing process of improving visibility for the detected consecutive non-fluorescence pixels.

An amount of color correction of a facial region is modified based on changes caused in face average values by white balance correction. Also, the amount of color correction of the facial region is modified according to luminance of pixels of interest to perform optimum color correction on the facial region and a highlight region.

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.

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.

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.

Methods, apparatuses, and systems are disclosed for simulating a tooth whitening procedure. The simulation may generally obtain a patient's two-dimensional or three-dimensional dental scan and color space convert color information from a first or native color space to a color space based on an International Commission on Illumination color space (CIELAB). The simulation may include modifying color information in the CIELAB color space then returning the modified color information to the native color space.

There is provided an inspection device configured to inspect a printed state of an inspected object surface which is a printed metallic base. The inspection device includes: a processor; and a memory connected to the processor to be able to communicate with the processor, the processor being configured to: acquire inspection image data obtained by imaging the inspected object surface; measure an L* value for each of colors in an L*a*b* colorimetric system of the inspection image data; and inspect the printed state of the inspected object surface based on the L* value.

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.