An image formed from pixels each having components defining a color is processed to implement an increase in the saturation of the image depending on a gain applied by a transfer function depending on the components of the color of each pixel. The gain of the transfer function is parameterized using at least one control parameter respectively dedicated to at least one type of reference image content. The value of the at least one control parameter is calculated depending on the actual content of the image by implementing calculations including determining colorimetric statistics of the pixels of the image and processing the statistics in accordance with at least one processing model respectively associated with the at least one type of reference image content.

Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring arc provided which simplify and improve current dermatologic diagnostic procedures.

Kits, diagnostic systems and methods are provided, which measure the distribution of colors of skin features by comparison to calibrated colors which are co-imaged with the skin feature. The colors on the calibration template (calibrator) are selected to represent the expected range of feature colors under various illumination and capturing conditions. The calibrator may also comprise features with different forms and size for calibrating geometric parameters of the skin features in the captured images. Measurements may be enhanced by monitoring over time changes in the distribution of colors, by measuring two and three dimensional geometrical parameters of the skin feature and by associating the data with medical diagnostic parameters. Thus, simple means for skin diagnosis and monitoring are provided which simplify and improve current dermatologic diagnostic procedures.

Methods, systems, and devices for color enhancement are described. A device may receive a raw image from a sensor (e.g., a camera of the device). The device may detect multiple regions of pixels corresponding to different image features in the raw image. For example, each region of pixels may correspond to one or more facial features. The device may compute one or more color ratios for each region of pixels. The device may then determine a respective color correction matrix for each region of pixels based at least in part on the one or more color ratios associated with that region of pixels. The device may generate a color-corrected image based on applying the respective color correction matrix to each region of pixels and may output the color-corrected image (e.g., to a display of the device, to a system memory, etc.).

An electronic apparatus is provided. The electronic apparatus includes an input comprising input circuitry configured to receive an image and a processor configured to detect a skin area from the image to acquire information on a pixel value of a pixel included in the skin area, to acquire information on characteristics of the skin area based on a face area in the skin area, and to process image quality of the skin area based on the information on the pixel value and the information on the characteristics of the skin area. As a result, it is possible to reduce the image distortion of the skin area occurring when only the analysis of the quantitative elements is performed and to improve the image quality preference of the skin area based on the analysis of the qualitative elements in addition to the quantitative elements.

The present application discloses an image optimization method and related device, The method includes: detecting an image and determining a skin color region and a non-skin color region of the image; and determining a number T of expansion regions according to the skin color region, and performing a saturation optimization process on the T expansion regions, wherein the non-skin color region includes the T expansion regions, the number T is a positive integer, a saturation of a first pixel in the expansion region after the saturation optimization process is a first saturation, a saturation of a second pixel in the expansion region after the saturation optimization process is a second saturation, the first saturation is greater than or equal to the second saturation if a distance of the first pixel from the skin color region is greater than a distance of the second pixel from the skin color region.

The present disclosure relates to a process for printing comprising the steps of selecting eight or fewer process colors from a known process ink color set, providing a color channel for the selected process colors from the known process ink color set, providing two or more spot color channels, wherein one or more of spot colors correspond to a non-selected process color of the process ink color set, applying a first ink limit and a first linearization to the one or more spot color channels to produce a color set including the non-selected process color of the known process ink color set, applying a second ink limit and a second linearization to the one or more spot color channels to produce a color set including the spot color, and optionally printing an image.

An image processing apparatus includes a skin area detection unit configured to detect a skin area of an object person, a difference area detection unit configured to detect a difference area between the visible light image and the infrared light image, a correction target area detection unit configured to detect a correction target area of the object person based on the skin area detected by the skin area detection unit and the difference area detected by the difference area detection unit, and a correction unit configured to correct the correction target area in the visible light image.

A photograph generation apparatus that controls a light source and corrects a picture using an illuminance sensor and a transparent liquid crystal, the photograph generation apparatus includes: a camera part configured to take a photographed picture of a user using the photograph generation apparatus; a lighting part configured to provide lighting for an object to be photographed using the photograph generation apparatus; an illuminance sensor part configured to measure an illuminance within a predetermined range of the photograph generation apparatus to use the measured illuminance in controlling the lighting of the lighting part; and a transparent liquid crystal panel mounted at a front surface of the camera part and configured to control an amount of a light source radiated to the camera part when the picture is being taken.

Disclosed herein are system, method, and computer program product embodiments providing interface color branding. An embodiment operates by receiving a primary color associated with a theme of a user interface. A first color code corresponding to the primary color is determined. The first color code is converted into a second color code corresponding to the primary color, wherein the first color code is in a device-dependent color format and the second color code is in a device-independent color format. A secondary color corresponding to each of one or more portions of the user interface is derived from the second color code. Each secondary color is converted from the device-independent color format into the device-dependent color format. The one or more portions of the user interface are colored in the device-dependent color format.