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随着互联网的普及和图像应用范围的不断扩大,对静止图像的编解码算法的新的要求在不断提出,即要求在较高的压缩比基础上实现更多新的功能,如嵌入式编解码、从有损压缩到无损压缩等等。嵌入式零树小波编码(EZW),及在其基础上涌现出许多新的改进算法,如分层树的集分割算法(SPIHT),集分割的嵌入块编码(SPECK),最佳截断的嵌入式块编码(EBCOT)等,文中对这些算法的原理和性能进行了讨论,并说明了静止图像编解码的研究方向。
With the popularity of the Internet and the ever-expanding range of image applications, new requirements for still image encoding and decoding algorithms are constantly being raised, requiring that more new functions be implemented on the basis of higher compression ratios, such as embedded codecs , From lossy to lossless compression and more. Embedded zerotree wavelet coding (EZW), and based on which many new improved algorithms such as SPIHT, SPECK, best truncated embedding (EBCOT), etc. In this paper, the principle and performance of these algorithms are discussed, and the research direction of still picture coding and decoding is illustrated.