失真(音乐)
畸变函数
度量(数据仓库)
忠诚
数学
观察员(物理)
编码(内存)
率失真理论
算法
上下界
计算机科学
人工智能
计算机视觉
解码方法
数据压缩
数据挖掘
带宽(计算)
电信
数学分析
物理
放大器
量子力学
作者
James L. Mannos,D. Sakrison
标识
DOI:10.1109/tit.1974.1055250
摘要
Shannon's rate-distortion function provides a potentially useful lower bound against which to compare the rate-versus-distortion performance of practical encoding-transmission systems. However, this bound is not applicable unless one can arrive at a numerically-valued measure of distortion which is in reasonable correspondence with the subjective evaluation of the observer or interpreter. We have attempted to investigate this choice of distortion measure for monochrome still images. This investigation has considered a class of distortion measures for which it is possible to simulate the optimum (in a rate-distortion sense) encoding. Such simulation was performed at a fixed rate for various measures in the class and the results compared subjectively by observers. For several choices of transmission rate and original images, one distortion measure was fairly consistently rated as yielding the most satisfactory appearing encoded images.
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