To reproduce an image, it is necessary to map out of gamut colors of the image to destination gamut. It is clear that the best color gamut mapping introduces the perceptually closest image to the original one. In this study, a new color gamut mapping is purposed by the aid of Genetic Algorithm (GA). The color difference between the original and mapped images based on S-LAB formula was chosen as...

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...

For digital color devices, complex relationship exists between their input image pixel values and the output color chromatic values, gamut mapping between them as well. The linear models are difficult to describe this relationship effectively. In the study, based on BP neural network, a gamut mapping model with micro space sections is proposed. The gamut mapping model maps color from monitor ga...

This paper proposes a gamut mapping algorithm based on color space division for color reproduction of cross media. As each color device has a limited range of producible colors, the reproduced colors on a destination device are different from those of the original device. In order to reduce the color difference between those devices, the proposed method divides the whole gamut into parabolic sh...

This paper proposes a method for designing a color lookup table (CLUT) that can simultaneously process gamut mapping and color space conversion without any complex computation. After constructing a LUT composed of the scanner and printer gamuts, fictive sample points are uniformly selected in CIELAB space and CMY values computed using gamut mapping. The scanner input RGB image is then converted...

Using a paired comparison paradigm, various gamut mapping algorithms were evaluated using simple rendered images and artificial gamut boundaries. The test images consisted of simple rendered spheres floating in front of a gray background. Using CIELAB as our device-independent color space, cut-off values for lightness and chroma, based on the statistics of the images, were chosen to reduce the ...

Color gamut mapping plays a crucial role in color management. Depending on the application, it is sometimes desirable to perform color gamut mapping by shifting the lightness and compressing the chroma of an out-of-gamut color while preserving the perceived hue of the color. The term Òperceived hueÓ is used to distinguish between the visual sensation of hue and metric hue angle (e.g., CIELAB hu...

In principal, color reproduction on specific devices can be divided into transformation of color coordinates and the adaptation of colors to a device, called gamut mapping. The well established ICC color management neglects the latter aspect. This paper presents a practical implementation addressing both an efficient color transformation and a sophisticated gamut mapping.

In this article, a new gamut-mapping algorithm (GMA) that utilizes variable anchor points (center of gravity on the lightness axis) is proposed. The proposed algorithm increases lightness range, which is reduced from conventional gamut mapping toward an anchor point. In this process, this algorithm utilizes multiple anchor points with constant slopes to both reduce a sudden color change on the ...