used to estimate the ‘‘roughness’’ of a grey-level image, was replaced by a three-dimensional Laplacian, which also The problem addressed in this work is restoration of images that have several channels of information. We have studied incorporates between-channel smoothness. Also, the GCV color images so far, but hopefully the ideas presented here method for estimating the regularization parame...

The paper presents a statistical evaluation of the typological data about color naming systems across the languages of the world that have been obtained by the World Color Survey. In a first step, we discuss a singular value decomposition of the categorization data that led to a small set of easily interpretable features dominant in color categorization. These features were used for a dimension...

Nowadays, although an increased number of people tend to use high-quality images for their daily activities, there are some applications where it is useful to have a reduced number of colors in our images. In this article, a color reduction approach is presented based on Cellular Automata (CA). More specifically, we exploit the inherent properties of CA, in order to locally detect the dominant ...

the human facial recognition is the base for all facial processing systems. in this work a basicmethod is presented for the reduction of detection time in fixed image with different color levels.the proposed method is the simplest approach in face spatial localization, since it doesn’trequire the dynamics of images and information of the color of skin in image background. inaddition, to do face...

Most of the color image processing algorithms do not consider the non-linearity of human vision, and the limitations of the human vision likecapability to discriminate between two similar colors and maximum number of colors human vision can respond to. In this paper, the nonlinearity and physiological limitations of human vision have been used for sampling the RGB color space. The large redunda...

An algorithm of the color image noise removal algorithm is put forward based on the pixel operations. The idea of the algorithm is to read every pixel in a set order and determine whether the pixel level is consistent with the probability density function of impulse noise or not. If it is similar to noise pixel, the number of impulse noise in a certain mask is counted. If the number is less tha...

Color transfer between images uses the statistics information of image effectively. We present a novel approach of local color transfer between images based on the simple statistics and locally linear embedding. A sketching interface is proposed for quickly and easily specifying the color correspondences between target and source image. The user can specify the correspondences of local region u...

This paper presents a new method for edge-preserving color image denoising based on the tensor voting framework, a robust perceptual grouping technique used to extract salient information from noisy data. The tensor voting framework is adapted to encode color information through tensors in order to propagate them in a neighborhood by using a specific voting process. This voting process is speci...

Color images have a gamut that typically spans three dimensions. Nevertheless, several important applications, such as the creation of grayscale images for printing and the re-coloring of images for color-deficient viewers, require a reduction of gamut dimension. This paper describes a technique for preserving visual detail while reducing gamut dimension. The technique is derived by focusing on...

A new segmentation procedure for color images is detailed in this article. The segmentation still ends with the watershed function, but the whole series of pre-treatments applied to the color images is of interest. After a HLS transformation of the images, a color reduction is applied, followed by a median filtering. The gradient is then constructed from this resulting image. After this step, t...