下载后可任意编辑摘要数字图像的表示需要大量的数据，必须进行数据的压缩。即使采纳多种方法对数据进行了压缩，其数据量仍然巨大，对传输介质、传输方法和存储介质的要求较高。因此图象压缩编码技术的讨论显得特别有意义。目前图像数据压缩的方法主要有哈夫曼编码、行程编码、算术编码、离散余弦变换编码以及混合编码等。本文描述了图像编码压缩方法的主要分类，介绍了每个分类里面的典型算法的原理、特点，列举了近些年出现的新的压缩编码算法，然后在 Matlab 环境下运用 DCT 变换对 JPEG 图像压缩编码进行仿真，并给出了仿真图片的对比和分析。关键词：图像压缩编码；DCT 变换；哈弗曼编码下载后可任意编辑AbstractThe digital images require large amounts of data, so the data must be compressed. Even with the variety of methods of data compression, the data are still huge, and transmission methods and storage media require a higher on the transmission media. Therefore, image compression coding technology research is particularly meaningful. Current image data compression methods are Huffman coding, length encoding, arithmetic coding, discrete cosine transform coding and hybrid coding, etc.. This article describes the image encoding method of the main categories, introduces inside the typical algorithms for each classification of the principles and characteristics, cites the recent emergence of a new coding algorithm, then in the Matlab environment using DCT transform coding of the JPEG image compression simulation, and simulation and analysis of image contrast.Keywords：Image compression；DCT transform；Huffman coding下载后可任意编辑目录第 1 章 绪论........................................................................................................................................11.1 数字图像处理........................................................................................................................11.1.1 图像处理的概念..........................................
