The image processing apparatus includes a white balance adjustment circuit configured to adjust a color temperature to RAW data of an image obtained by capturing, a generator circuit configured to generate data of planes for each component of the image from data of which color temperature was adjusted, and a RAW encoding circuit configured to conduct compression encoding of the data of the planes.

Digital image processing circuitry converts images in a color filter array (CFA) color space to images in a luminance-chrominance (YUV) 4:2:0 color space, and the images in the YUV 4:2:0 color space are processed by the digital image processing circuitry in the YUV 4:2:0 color space, for example, to apply noise filtering, etc. The converting includes simultaneously receiving pixel data defining a macro-pixel in the CFA color space. The processing in the YUV color space is applied on a macro-pixel level to the macro-pixel of the image in the YUV color space.

Systems and methods are disclosed for content aware digital image enhancement. In particular, in one or more embodiments, the disclosed systems and methods analyze content of a digital image portraying a document with graphics and/or text and generate a cleaning confidence map. Specifically, in one or more embodiments, the disclosed systems and methods generate a cleaning confidence map indicating a likelihood that each pixel in the digital image portrays text or a graphic. Moreover, in one or more embodiments, the disclosed systems and methods utilize the cleaning confidence map as a reflection of how aggressively to modify digital images. In particular, in one or more embodiments, the disclosed systems and methods utilize the cleaning confidence map to remove shadows, identify and clean background pixels, and correct contrast in relation to the digital image.

An image processing apparatus for displaying an image on a display screen, inputs data, specifies at least one of a bright region and a dark region of an image corresponding to the image data, executes, for at least one of the bright region and the dark region, at least one of first chroma processing of increasing a chroma of the bright region, second chroma processing of lowering the chroma of the dark region, first hue processing of making a hue of the bright region close to red, and second hue processing of making the hue of the dark region close to blue in accordance with display dynamic range information corresponding to the display screen, and displays, on the display screen, an image based on corrected image data that has undergone correction.

A color processing apparatus includes first, second, and third acquiring units. The first acquiring unit acquires first color data indicating association among first-space color in a first space, second-space color obtained using a reading unit reading measurement images having different first-space colors, and third-space color obtained by converting the second-space color through a predetermined transformation model. The second acquiring unit acquires second color data indicating association between the first-space color and the third-space color obtained using a measuring unit performing color measurement on some of the specific-color measurement images containing a specific color in the first space and included in the measurement images. The third acquiring unit acquires third color data indicating association between the first-space color and the third-space color obtained by converting the first-space color through a transformation equation obtained from the first and second color data. The conversion is performed on the other specific-color measurement images.

An image processing apparatus includes a color separation unit separating image data into a luminance component and a color component; a processing unit generating second image data of the luminance component by manipulating pixel values of multi-resolution image data generated from first image data of the luminance component and reconstructing the manipulated multi-resolution image data; and a composition unit compositing the second image data of the luminance component with image data of the color component. Further, the processing unit generates the second image data of the luminance component based on pixel values which are adjusted by using parameters in accordance with pixel values of the image data of the color component.

Image and video processing techniques are disclosed for processing components of a color space individually by determining limits for each component based on the relationship between each component in a color space. These limits may then be used to clip each component such that the component values are within the determined range for that component. In this manner, more efficient processing of images and/or video may be achieved.

An image reproduction system and methods for providing colorant data to an end device are disclosed. A method includes extracting general HSV value data for each pixel of an image from image data. For each pixel, the general HSV value data is transformed to generate universal perceived brightness, Bp, and universal perceived-chroma, Cp, value data. End-device colorant data associated with the general HSV value data is retrieved for each pixel and scaled using the Bp and Cp value data to obtain scaled end-device colorant data. The scaled end-device colorant data is transmitted to the end device.

An image processing apparatus includes circuitry that estimates a first geometric transformation parameter for aligning first output image data with the original image data, the first output image data being acquired by reading a first output result, and a second geometric transformation parameter for aligning second output image data with the original image data, the second output image data being acquired by reading a second output result; associates, based on the first and the second geometric transformation parameters, combinations of color components of the first and the second output image data, corresponding to pixels of the original image data, to generate pixel value association data; determines, based on the pixel value association data, a mapping for estimating color drift between the first output image data and the second output image data from the original image data; and subjects the original image data to color conversion based on the mapping.

Apparatus, methods, and other embodiments associated with image processing operations are disclosed that provide image color enhancement. According to one embodiment, an apparatus includes zone classifier logic to map base chrominance components of pixels of color data to zones within a color space, where each zone is assigned a gain value. Saturation detection logic generates saturation values from the base chrominance components for each pixel of the color data. Saturation transformation logic transforms the saturation values to sigmoidal output values based on a sigmoidal transformation model. Chrominance enhancement logic generates enhanced chrominance components for each pixel of the color data based on the base chrominance components, the saturation values, the sigmoidal output values, and gain values assigned to the zones to which the base chrominance components are mapped.