In this paper, we are interested in color image processing, and in particular color image decomposition. The problem of image decomposition consists in splitting an original image f into two components u and v. u should contain the geometric information of the original image, while v should be made of the oscillating patterns of f , such as textures. We propose here a scheme based on a projecte...

in this paper, the performance of 11 different distances for image retrieval and classification, based on color, shape and texture, is evaluated. the precision-recall measure and the correct classification rate of the k-nn classifier are used to evaluate retrieval and classification performances, respectively. the experimental results for a database of 1000 images from 10 different semantic gro...

In this paper, we are interested in color image processing, and in particular color image decomposition. The problem of image decomposition consists in splitting an original image f into two components u and v. u should contain the geometric information of the original image, while v should be made of the oscillating patterns of f , such as textures. We propose here a scheme based on a projecte...

A new color image encryption algorithm combining compressive sensing with Arnold transform is proposed, which can encrypt the color image into a gray image. Considering the dimensional reduction and random projection of compressive sensing, we utilize compressive sensing to encrypt and compress the three color components of color image simultaneously. The three encrypted and compressed color co...

Color which is one of the basic features of the image is widely used in image processing. The choice of color space is a primary issue for the color image segmentation based on color features. In this paper, giant pandas are chosen as the research objects. In order to achieve good segmentation results, different color spaces and the corresponding algorithms are chosen for image segmentation acc...

This paper proposes a novel image retrieval algorithm using local color feature of image sub-block and global texture and shape features. Image sub-blocks are identified by partitioning the image into blocks. Color Texture and shape are the low level image descriptor in Content Based Image Retrieval. These low level image descriptors are used for image representation and retrieval in CBIR. In t...

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...

Color science research, color image information processing research and development, as well as color printer product technology development, performed in relation to color image information processing, which is one of the core technologies of the color printing solutions at Oki Data, are described in three chapters of this paper. I should mention that this paper does not provide a detailed des...

Color quantization considers the problem of mapping the continuous color space into a limited number of discrete colors or representing a full color digital image using fewer colors. Usually, the set of available colors for the output image is called a color palette. The selection of an optimal color palette and the optimal mapping of each pixel of the image to a color from the palette form the...

In this thesis, an efficient approach for landscape image classification and matching system based on the MPEG-7 (Moving Picture Expert group) color and shape descriptor. Image classification is the task of deciding whether an image landscape or not. These classifications use the dominant color descriptor method for finding the dominant color in the image. In DCD we examine whole image pixel va...