图像质量测量与评价中客观全参考度量的改进

R. Deliyski
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引用次数: 1

摘要

本文提出了一种改进的客观PSNR度量,用于图像质量的测量和评价。在修正度量中,MSE被3个不同的距离度量所取代:MAE、欧几里得距离和堪培拉距离。所有参数都是用12个不同的3通道8位图像进行测试的。每个测试图像被10个不同的平均为零的高斯白噪声色散值所扭曲。实验表明,随着欧氏距离的增加,PSNR的色散具有最小的标准差,从而提高了原PSNR。由于数据的正态性及其偏差,结果必须具有一定的标准不确定度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modification of Objective Full Reference Metrics for Image Quality Measurement and Evaluation
This paper presents a modification of objective PSNR metric for image quality measurement and evaluation. In the modified metric the MSE is substituted by 3 different distance measures: MAE, Euclidean distance and Canberra distance. All metrics were tested with 12 different 3-channels, 8-bits images. Every test image was distorted by 10 different values of dispersion of white Gaussian noise with zero mean. The experiments show that the dispersion of the PSNR with Euclidean distance has the lowest standard deviation and thus improved the original PSNR. It is also suggested that due to normality of the data and their deviation, the results has to be accepted with some standard uncertainty.
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