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随着社会数字图像与多媒体技术的高速发展,图像信息传递已经渐渐成为了现代社会主要载体。图像信息往往包含着巨大数据量,因此在信息传输和储存过程中会碰到巨大困难,解决这一困难最好的方式就是对图像信息进行压缩。为探索出高效的图像压缩编码方式,全球各国的研究人员都在对其进行研究。经过研究人员的努力,小波变换技术逐渐的进入了人们的视线,其以较好的时间频率局部特性及人眼视觉特性迅速被人们所接受,在图像压缩编码中得到广泛的应用。笔者以小波变换编码中的嵌入式零树小波编码在MATLAB环境下的解码,并且对Matlab的图像编码技术的优势进行了介绍,并分析了其不足之处。
With the rapid development of social digital image and multimedia technology, image information delivery has gradually become the main carrier of modern society. Image information often contains a huge amount of data, so the transmission and storage of information will encounter tremendous difficulties, the best way to solve this problem is to compress the image information. To explore efficient image compression coding, researchers from all over the world are studying it. After the efforts of researchers, wavelet transform technology has gradually entered the people’s attention, which is quickly accepted by people with better local characteristics of time and frequency and human visual characteristics, and has been widely used in image compression coding. The author uses wavelet transform coding embedded zerotree wavelet coding in MATLAB environment decoding, and introduces the advantages of Matlab image coding technology, and analyzes its shortcomings.