基于小波变换的多尺度SSIM算法

钱方; 孙涛; 郭劲; 王挺峰

doi:10.3788/YJYXS20153002.0317

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基于小波变换的多尺度SSIM算法

成像技术与图像处理 | 更新时间：2020-08-12

- 基于小波变换的多尺度SSIM算法
- Multi-scale SSIM algorithm based on wavelet transforms
- 液晶与显示 2015年30卷第2期页码：317-325
- 作者机构：
  
  1. 中国科学院长春光学精密机械与物理研究所激光与物质相互作用国家重点实验室,吉林长春,130033
  2. 中国科学院大学北京,100049
- 作者简介：
- 基金信息：
  
  国家重点实验室自主基础研究(No.SKLLIM1203-01)()
- DOI：10.3788/YJYXS20153002.0317
  中图分类号： TN27;TN104.3
- 收稿日期：2014-10-28，
  
  修回日期：2014-12-15，
  
  纸质出版日期：2015-06-05
- 稿件说明：
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王永青, 贵丽红, 丰景义, 张冠超, 邸玉静, 王明霞. 添加剂对高双折射液晶紫外稳定性影响[J]. 液晶与显示, 2015,30(3): 404-409 DOI： 10.3788/YJYXS20153002.0317.

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摘要

提出一种基于小波变换的多尺度结构相似度的图像质量评价(WWMS-SSIM)算法。首先对原始图像和失真图像分别进行小波变换

在对应的低频子带图像中比较亮度和相关度差异

在对应高频子带图像中比较对比度、相关度和结构差异

然后赋予不同子带图像不同的视觉加权值

最后得到归一化的图像质量评价值。通过对不同失真类型图像以及Live数据库图像的评价

证明了提出的算法(WWMS-SSIM)相对均方误差、峰值信噪比、结构相似度以及改进的结构相似度评价算法更符合人类的主观视觉感受。

Abstract

This paper proposes a new algorithm composed of weighted multi-scale structural similarity (WWMS-SSIM) based on wavelet decomposition and HVS property. Wavelet decomposition is performed for the original and distorted images

respectively. Each image can be partitioned into one low-frequency subband (LL) and a series of octave high-pass subbands (HL

LH and HH). Different subbands are processed with different weighting factors. Based on the results of the above

modified WWMS-SSIM can be construced. In terms of experiment results

the new algorithm shows good feasibility comparing with MSE

PSNR

SSIM and improved SSIM image quality assessment methods.

关键词

Keywords

references

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