gamut mapping, retinex algorithm, calculus of variations, robust reconstruction Gamut mapping is a method to modify a representation of a color image to fit into a constrained color space of a given rendering medium. A laser-jet color printer that attempts to reproduce a color image on a regular paper would have to map the photographed picture colors in a given color range, also known as the im...

A unique color space segmentation method is introduced. It is founded on features of human cognition, where 11 color categories are used in processing color. In two experiments, human subjects were asked to categorize color stimuli into these 11 color categories, which resulted in markers for a Color LookUp Table (CLUT). These CLUT markers are projected on two 2D projections of the HSI color sp...

HIS color space is based on the visual features of our eyes, and uses tone, brightness, saturation to manifest the color. While conducting edge detection on color images, in order to get better effects and consistent with human visual perception, a novel HIS-like color space is defined and it is obtained in the process of the improving HIS color model. Edge detection has been made on image whic...

Color space conversion has become a very important role in the image acquisition, display and the transmission of the color information in the replication. Printers and Image setter express color by CMYK space. But if color is edited and corrected in the CMYK space, it will cause a greater loss of color, and the Computing of computer will also be slowed down. So it often needs to be converted t...

In t,his paper we compared color space models l,ased on hrunan color perception. For this purpose, we made t.wo experinlents to see how human suh-ject,s classify color pixels in color ima.ges. In the first. experiment, subject,^ classify color pixels without seeing the ima.ge. In the second experiment, the subjects segment the images int.0 regions considered t,o I' e of similar colors, seeing t...

In this paper, we investigate the effect of color space selection on detectability and discriminability of colored objects under various conditions. 20 color spaces from the literature are evaluated on a large dataset of simulated and real images. We measure the suitability of color spaces from two different perspectives: detectability and discriminability of various color groups. Through exper...

We propose a numerical method to determine a transformation of a color space into a hue linear color space with a maximum degree of perceptual uniformity. In a first step, a transformation of the initial color space into a nearly perceptually uniform space is computed using multigrid optimization. In a second step, a hue correction is applied to the resulting color space while preserving the pe...

The Joint Photographic Experts Group's image compression algorithm has been shown to be a very efficient and powerful method of compressing images. However, there is litde substantive information about which color space should be utilized when implementing the JPEG algorithm. Currendy, the JPEG algorithm is set up for use with any three component color space. The objective of this research was ...

The article presents two practical ways of using the automated color image segmentation in the medical field: for content-based region query and for tracking the time evolution of the disease in patients following a certain treatment. A known technique was used for automated color medical image segmentation – the color set back-projection algorithm. Our previous work in extraction of color regi...

This research features a new method for skin color segmentation using a 2D plane in the RGB color space. The RGB color values of the input color image do not need to be converted into HSI or YIQ color coordinates that have popularly been used for color segmentation. We have observed an important fact that skin colors in the RGB color space are approximately distributed in a linear fashion. Base...