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.

An image capture apparatus includes a skin map generation processing unit and an image composition unit. The skin map generation processing unit detects a skin color area in an image. The skin map generation processing unit detects a saturated area of high value and low saturation in the image. The image composition unit executes processing of correcting the skin color area detected by the skin map generation processing unit by using the saturated area detected by the skin map generation processing unit.

Disclosed is an electronic device. There electronic device according to an embodiment includes: a memory; and a processor electronically connected to the memory, wherein the processor can be configured to recognize a face region from an image, check first skin probability data, corresponding to a region to be corrected, on the basis of a first skin color distribution including a skin color distribution stored in association with a plurality of races, first color data of the face region, and a second color data of the region to be corrected which is in the image and includes the face region, determine a category of the face region on the basis of the first color data of the face region, and correct the color, of the region to be corrected, on the basis of the determined category and the first skin probability data. Various other embodiments understood from the specification are also possible.

The present disclosure relates generally to data hiding for retail product packaging and other printed objects such as substrates. One embodiment embeds an information signal in a spot color for printing on various substrates. The spot color is screened, and overprinted with process color tint. The tint is modulated prior to overprinting with optimized signal tweaks. The optimization can include consideration of a detector spectral dependency (e.g., red and/or green illumination). Many other embodiments and combinations are described in the subject patent document.

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.

The present application includes methods, systems and computer readable storage devices for determining a color score for at least a portion of a biological tissue. The subject matter of the application is embodied in a method that includes obtaining a digital image of the biological tissue, and receiving a selection of a portion of the image as an evaluation area. The method also includes determining for each of a plurality of pixels within the evaluation area, a plurality of color components that are based on a Cartesian color space, and determining, from the color components, a hue value in a polar coordinate based color space. The method further includes determining a color value based on the hue value for each of the plurality of pixels, and assigning a color score to the evaluation area based on an average of the color values of the plurality of pixels.

A device and method for applying a material to a surface to repair, restore or refurbish at least a portion of the surface. The device has a sensor and one or more applicator nozzles. The device further includes a reservoir for containing a material to be deposited, and a CPU. The method includes providing information from the sensor about the surface to the CPU, which uses the information to identify where the material is to be deposited and/or how much to deposit.

A color conversion device includes a conversion determination module which receives input image data including a plurality of pixel data, and to determine whether a dominant color of an input image represented by the input image data is within a predetermined color conversion region, a color conversion module which performs color conversion on pixel data representing a color within the color conversion region among the plurality of pixel data when the dominant color of the input image is within the color conversion region, and a luminance conversion module which performs luminance conversion on pixel data representing a luminance within a predetermined middle luminance region among the pixel data on which the color conversion is performed.

The present disclosure relates generally to encoding signals for spot colors. In one implementation a substitute spot color+CMY tint is selected to replace an original spot color. The CMY tint can be transformed to carry an encoded signal. Of course, other features, combinations and technology are described herein.

A computer-controlled system determines attributes of a frexel, which is an area of human skin, and applies a reflectance modifying agent (RMA) at the pixel level to automatically change the appearance of human features based on one or more digital images. The change may be based on a digital image of the same frexel, for as seen in a prior digital photograph captured previously by the computer-controlled system. The system scans the frexel and uses feature recognition software to compare the person's current features in the frexel with that person's features in the digital image. It then calculates enhancements to the make the current features appear more like the features in the digital image, and it applies the RMA to the frexel to accomplish the enhancements. Or the change may be based on a digital image of another person, through the application of RMAs.