Research On Representation, Coding And Quality Assessment Of Color Image Based On 3-D Matrix In MPEG-21

With the development of Internet and multimedia application technologies, color images are used widely than ever, for which can reflect the real world and comply with the perception of human eyes, additionally, the advance of compression and coding technologies for color images is one of key factors. An uncompressed color image will need more space, which will cause more trouble for its transmission over Internet; however, compressed one will need smaller space and can be transmitted conveniently.It is well known that the fundamental theory is that there is much redundant information within one image according to information theory and generally speaking, the data distribution rule of one image cannot be observed only by human eyes and there is much relevance between image data representation by statistics, such as the position relevance of pixels. For a color image represented by RGB (Red, Green and Blue) color space, there exists not only position relevance for pixels in one frame but also color relevance in the same position of different frames, i.e. redundant information in one color image includes statistic, structural, knowledge and visional redundancy as well as color redundancy, which also indicates the specificity of compression and coding for color image and usually, the method of color space conversion is used firstly to remove some color redundancy and then the compression methods adopted for gray image is transplanted directly.Because image is two-dimensional data representation and the progress of data compression technologies will also accelerate that of image compression technologies, transforms, such as DCT and wavelet transform, are used to convert image representation from space domain to frequency or transformed domain and correspondingly, many compression methods, such as RLE (Run-Length Encoding), predictive coding, Huffman coding and arithmetic coding will also be...