IEEE Trans Image Process - An innovative lossless compression method for discrete-color images.

Tópicos

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Resumo

In this paper, we present an innovative method for lossless compression of discrete-color images, such as map images, graphics, GIS, as well as binary images. This method comprises two main components. The first is a fixed-size codebook encompassing 8?8 bit blocks of two-tone data along with their corresponding Huffman codes and their relative probabilities of occurrence. The probabilities were obtained from a very large set of discrete color images which are also used for arithmetic coding. The second component is the row-column reduction coding, which will encode those blocks that are not in the codebook. The proposed method has been successfully applied on two major image categories: 1) images with a predetermined number of discrete colors, such as digital maps, graphs, and GIS images and 2) binary images. The results show that our method compresses images from both categories (discrete color and binary images) with 90% in most case and higher than the JBIG-2 by 5%-20% for binary images, and by 2%-6.3% for discrete color images on average.

Resumo Limpo

paper present innov method lossless compress discretecolor imag map imag graphic gis well binari imag method compris two main compon first fixeds codebook encompass bit block twoton data along correspond huffman code relat probabl occurr probabl obtain larg set discret color imag also use arithmet code second compon rowcolumn reduct code will encod block codebook propos method success appli two major imag categori imag predetermin number discret color digit map graph gis imag binari imag result show method compress imag categori discret color binari imag case higher jbig binari imag discret color imag averag

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