Effect of coefficient coding on JPEG baseline image compression

M. Chang, G. Langdon
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引用次数: 3

Abstract

Summary form only given. This work uses the example quantization table described in the JPEG drafts as the basis for comparing the amount of compression attributable to each of several distinct lossless compression techniques. It takes the JPEG algorithm apart into its constituent pieces. The result shows that most of the JPEG compression performance is achieved from coefficient quantization that replaces coefficient values comprising many bits with values of few bits. Additional compression is achieved by a combination of runlength coding, predictive coding, and either Huffman or arithmetic coding.<>
系数编码对JPEG基线图像压缩的影响
只提供摘要形式。这项工作使用JPEG草案中描述的示例量化表作为比较几种不同无损压缩技术的压缩量的基础。它将JPEG算法分解为其组成部分。结果表明,大部分JPEG压缩性能是通过系数量化实现的,该量化将包含多比特的系数值替换为包含少量比特的系数值。额外的压缩是通过运行长度编码、预测编码和霍夫曼或算术编码的组合来实现的。
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