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Multi-scale SSIM metric based on weighted wavelet decomposition
Qian F.; Guo J.; Sun T.; Wang T. F.
2014
发表期刊Optik
ISSNISBN/0030-4026
卷号125期号:20页码:6205-6209
摘要Image quality assessment aims to use computational models to assess the image quality consistently with subjective evaluations. This paper proposes a new metric composed of weighted wavelet multi-scale structural similarity (WWMS-SSIM). Four-level 2-D wavelet decomposition is performed for the original and disturbed 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, we can construct a modified WWMS-SSIM. Comparison experiments show that the correlation, prediction accuracy and consistency of the proposed metric are respectively 5.8%, 5.2% and 4.8% higher than the PSNR metric. The correlation, prediction accuracy and consistency of the proposed metric are respectively 0.7%, 1.6% and 2.6% higher than the SSIM metric. In terms of the experiment results, the WWMS-SSIM metric shows good feasibility comparing with PSNR and SSIM methods. (C) 2014 Elsevier GmbH. All rights reserved.
收录类别SCI ; EI
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/44177
专题中科院长春光机所知识产出
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GB/T 7714
Qian F.,Guo J.,Sun T.,et al. Multi-scale SSIM metric based on weighted wavelet decomposition[J]. Optik,2014,125(20):6205-6209.
APA Qian F.,Guo J.,Sun T.,&Wang T. F..(2014).Multi-scale SSIM metric based on weighted wavelet decomposition.Optik,125(20),6205-6209.
MLA Qian F.,et al."Multi-scale SSIM metric based on weighted wavelet decomposition".Optik 125.20(2014):6205-6209.
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