像素
二元分析
图像质量
计算机科学
灰度
人工智能
数据压缩
度量(数据仓库)
图像压缩
计算机视觉
比例(比率)
图像(数学)
模式识别(心理学)
图像处理
数学
数据挖掘
机器学习
量子力学
物理
作者
Ahmet M. Eskicioğlu,Paul S. Fisher
摘要
A number of quality measures are evaluated for gray scale image compression. They are all bivariate, exploiting the differences between corresponding pixels in the original and degraded images. It is shown that although some numerical measures correlate well with the observers' response for a given compression technique, they are not reliable for an evaluation across different techniques. A graphical measure called Hosaka plots, however, can be used to appropriately specify not only the amount, but also the type of degradation in reconstructed images.
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