Novel workflow for image-guided gamut mapping

A New Method for Color Gamut Mapping by Genetic Algorithm

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...

A Novel Workflow for Image Dependent Gamut Mapping

Image-Difference Measure Optimized Gamut Mapping

Even though there is still room for improvement, recent perceptual image-difference measures show a prediction performance that makes them interesting to be used as objective functions for optimizing image processing algorithms. In this paper, we use a color enhanced modification of the Structural Similarity (SSIM) index for optimizing gamut mapping. An iterative algorithm is proposed that mini...

Image-dependent three-dimensional gamut mapping using gamut boundary descriptor

A 3-D image-to-device gamut mapping algorithm (I-D GMA) is an ideal way to map display image to the inside of printer gamut. A quick decision whether or not each pixel is located inside of the device gamut is necessary to execute a 3-D I-D GMA. We propose a new gamut boundary descriptor (GBD) for comparing the gamut between image and device by the discrete polar angle (Du,Dw). The gamut shell i...

Space Sensitive Color Gamut Mapping

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...