Image quality evaluation method base on digital wavelet transform and vision weighted

JIANG Ming1; MA Zhao-feng1; XIN Yu3; NIU Xin-xin1; YANG Yi-xian1

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Image quality evaluation method base on digital wavelet transform and vision weighted

更新时间：2024-10-14

- Image quality evaluation method base on digital wavelet transform and vision weighted
- Vol. 32, Issue 9, Pages: 129-136(2011)
- 作者机构：
  
  1. 北京邮电大学网络与交换技术国家重点实验室信息安全中心
  2. 北京邮电大学网络与信息攻防技术教育部重点实验室
  3. 天柏宽带网络科技(北京)有限公司
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2011
- 稿件说明：
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JIANG Ming1, MA Zhao-feng1, XIN Yu3, et al. Image quality evaluation method base on digital wavelet transform and vision weighted[J]. 2011, 32(9): 129-136.
DOI：

JIANG Ming1, MA Zhao-feng1, XIN Yu3, et al. Image quality evaluation method base on digital wavelet transform and vision weighted[J]. 2011, 32(9): 129-136. DOI：

摘要

提出了一种新的基于小波变换和视觉加权的图像质量客观评价方法(WVWPSNR

wavelet and vision weighted peak signal noise ratio)。该方法将图像的DWT和HVS特性相结合

利用子图分解以及视觉加权处理实现图像质量的客观评价。对多幅分别经过JPEG压缩、JPEG2000压缩、White Noise(白噪声)、Gaussian Blur(高斯模糊)、FastFading降质的图像进行测试

实验结果表明该方法可靠、有效

与主观评价结果更接近。尤其是该方法对JPEG压缩图像的质量评价性能较好。

Abstract

A new objective method WVWPSNR（wavelet and vision weighted peak signal noise ratio） was presented.In which the method was based on DWT

and the sensitivity of HVS（human visual system） was weighted using sub-band division.In this method

the assessment valued of the new method accord with MOS（mean opinion score）.In order to demonstrate the effectiveness and to verify the reliability of WVWPSNR method

a series of experiment for JPEG、JPEG2000、White Noise、Gaussian Blur and FastFading images were made and tested.The results suggest that the proposed method can provide accurate measures of image quality under JPEG compression.

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