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基于直方图相交匹配函数的图像压缩评测准则
引用本文:瞿晓.基于直方图相交匹配函数的图像压缩评测准则[J].科技通报,2006,22(1):119-121.
作者姓名:瞿晓
作者单位:浙江科技学院,信息与电气工程学系,杭州,310012
摘    要:常用的基于均方根误差(RMSE)图像保真度准则不能准确地放映一些灰度图像主要敏感细节。本文提出了利用灰度直方图的相似度作为评价重建图像质量的准则。利用JPEG方法对图像进行压缩,并采用直方图相交匹配函数求得图像灰度级的匹配程度。实验结果表明,直方图相交匹配函数是一种有效的图像压缩评测准则。

关 键 词:灰度图像  图像压缩  均方误差  直方图
文章编号:1001-7119(2006)01-0119-03
收稿时间:2004-09-03
修稿时间:2004年9月3日

A Criterion for Measuring Performance of Compressed Images Based on Histogram Cross Matching Function
QU Xiao.A Criterion for Measuring Performance of Compressed Images Based on Histogram Cross Matching Function[J].Bulletin of Science and Technology,2006,22(1):119-121.
Authors:QU Xiao
Abstract:The popular fidelity measurement method based on root mean squared error(RMSE) is unable to completely reflect the details of the sensitive information of compressed grayscale images. A new fidelity measurement criterion has been presented, which is based on the similarity degree of grayscale histogram between the original image and compressed image. The JPEG compress method was applied, and the histogram cross matching function was used to measure the matching degree in this research. The experimental results show that the histogram cross matching function is a useful criterion for measuring the performance of compressed images.
Keywords:grayscale image  compressed image  mean squared error  histogram
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