Abstract
According to the measurement process of the human visual contrast sensitivity characteristics and characteristics of Discrete Cosine Transform of the image,a color image compression technology program is proposed based on human visual characteristics.In the program,the color image is converted and described in CLELAB color space at first,and each of the three components of the color image is processed by Discrete Cosine Transform.Secondly,the transform domain coefficients are quantified according to the contrast sensitivity function model of human vision and coefficient's characteristics of Discrete Cosine Transform.The color image is encoded using Huffman algorithm.Lastly compressed images are decompressed using the inverse process,and the color images are matched after decompression.The simulation results show that PSNR can reach 37 dB or more when the compression ratio is 98.355 5∶1,and the human eye can not distinguish the differences between the source image and decompressed image,and the coding efficiency can reach more than 0.74,redundancy in 0.26 below,which shows that the color image compression technology solutions proposed can achieve a higher compression ratio under the premise of ensuring the encoding quality and image quality,and is a feasible and effective solution for color image compression technology.
Published Version
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