An image processing apparatus performs predetermined image processing for read data obtained by reading an image on a document by first and second reading sensors arranged so as to have an overlapping area. The predetermined image processing includes color correction processing of converting color signals detected by light receiving elements of the reading sensors into color signals with respect to each of pixels forming read data. Color correction processing for first read data obtained from light receiving elements of the first reading sensor not included in the overlapping area and color correction processing for second read data obtained from light receiving elements of the second reading sensor not included in the overlapping area are performed in accordance with different correction characteristics. By doing this, an image in which image unevenness caused by individual differences of the short reading sensors is reduced can be output.

A disclosed scaler resource includes a color management module configured to support two or more color space transformations and two or more color temperature adjustment profiles and to receive first pixel data and perform color processing of the first pixel data to produce second pixel data. The color processing includes a color space transformation in accordance with any of the supported color space transformation matrices and a color temperature adjustment in accordance with any of the supported color temperature adjustment profiles. The color processing is configured wherein a ratio of primary colors produced by performing the color processing on first pixel data corresponding to any primary color is independent of the selected color temperature adjustment profile. The color space transformation may be performed before or after the color temperature adjustment. When performed before, the color transformation matrix is modified to reflect the color temperature adjust profile.

A method and apparatus with image correction is provided. A processor-implemented method includes generating, using a neural network model provided an input image, an illumination map including illumination values dependent on respective color casts by one or more illuminants individually affecting each pixel of the input image, and generating a white-adjusted image by removing at least a portion of the color casts from the input image using the generated illumination map.

An image processing apparatus obtains an image captured in an image capturing and sets a white balance recording mode for recording the image as a still image and a white balance display mode for displaying the image before being captured as the still image on a display. The apparatus controls white balance correction performed on the image captured in the image capturing. In a case where a first display mode that is included in the display mode is set, the apparatus sets an amount of a light source color that remains after the white balance correction is performed on the image before being captured as the still image in the first display mode to be larger than the amount of the light source color that remains after the white balance correction is performed on the still image in the recording mode.

An image processing apparatus has: a WB processing circuit that performs a plurality of kinds of WB processing for an input image that is undeveloped and captured by an image capturing element in which pixels of a plurality of colors are arranged in a mosaic pattern under a predetermined rule; filter circuits that perform color interpolation processing by referring to the input image and a signal subjected to WB processing and generate images of respective color signals whose color ratio is equivalent to that of the input image; and resizing circuits that resize the generated images.

An image processing apparatus includes an image acquire unit that acquires an image in which at least one element in a first color space has linear characteristics; and a processor. The processor is configured to adjust a white balance of the image which is acquired by the image acquire unit; control the adjustment of the white balance, on the basis of a specific color serving as a reference; convert each of a plurality of portions in the image in which the white balance has been controlled by the adjustment of the white balance, into one element in a second color space; and apply predetermined image processing to the acquired image in which the white balance has not been adjusted, by using the converted information.

Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to: divide an oblique aerial image into a plurality of sections, choose reference aerial image(s), having a consistent color distribution, for a first section and a second section; create a color-balancing transformation for the first and second sections of the oblique aerial image such that the first color distribution of the first section matches the consistent color distribution of the chosen reference aerial image and the second color distribution of the second section matches the consistent color distribution of the chosen reference aerial image; color-balance pixel(s) in the first and section sections of the oblique aerial image, such that at least one color-balancing transformation of the first and second sections matches the consistent color distribution of the reference aerial image(s).

The present disclosure discloses a multicolor barcode. The multicolor barcode includes a start region (1), a data region (2), and a check region (3). The start region (1), the data region (2), and the check region (3) are arranged in sequence. The start region (1) includes a start color block that indicates a start position of the multicolor barcode, the data region (2) includes a data color block that indicates encoded data of the multicolor barcode, and the check region (3) includes a check color block that indicates an end position of the multicolor barcode. The start color block includes a first color block and a second color block, the first color block is located at the start position, and the second color block is a white color block. The present disclosure further provides a color calibration method for a multicolor barcode, and a computer-readable storage medium.

Input color values corresponding to an input image are received; a color space of the input color values is converted to an LMS color space with three elements, the three elements including a long wavelength (L) element, a medium wavelength (M) element, and a short wavelength (S) element; color values in the LMS color space are grouped into a plurality of groups based on color vision information, each of the groups including color values determined as approximate based on the color vision information; and lightness of color values included in each of the groups is adjusted and an image output device is instructed to apply said adjusted lightness of color values to said input image.

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.