结合NSS和小波变换的无参考图像质量评价

金波; 李朝锋; 吴小俊

doi:10.11834/jig.20120105

图像处理和编码 | 浏览量 : 0 下载量: 312 CSCD: 0

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专辑

结合NSS和小波变换的无参考图像质量评价
No-reference image quality assessment based on natural
2012年17卷第1期页码：33-39
纸质出版：2012
DOI： 10.11834/jig.20120105
稿件说明：

移动端阅览

金波, 李朝锋, 吴小俊. 结合NSS和小波变换的无参考图像质量评价[J]. 中国图象图形学报, 2012,17(1):33-39. DOI： 10.11834/jig.20120105.

Jin Bo, Li Chaofeng, Wu Xiaojun. No-reference image quality assessment based on natural[J]. Journal of Image and Graphics, 2012, 17(1): 33-39. DOI： 10.11834/jig.20120105.

摘要

为了度量不同失真类型的图像质量

提出一种基于小波多尺度变换的无参考质量评价方法。该方法根据自然场景统计(NSS)模型中小波多尺度变换子带能量在对数域的线性分布规律

利用失真条件下变化缓慢的高尺度子带能量预测理想图像的低尺度子带能量

同时对一些不适合失真类型进行能量补偿

最后通过量化失真图像的预测值和实际值之间的能量差异来度量图像质量。实验结果表明

该方法与主观评价方法有较好的一致性

且在总体性能上优于当前相关文献的方法。

Abstract

To estimate a range of image distortions

a novel no-reference image quality assessment method is proposed based on wavelet multi-scale transformation.For natural scene statistics (NSS) model

the sub-band energy of wavelet transformation has a linear distribution with scale index.According to this principle

the energy distribution of ideal image could be predicted from high-scale sub-band energy

which was not badly affected by distortion.Meanwhile

an effective method for identifying and compensating for an inappropriate distortion was presented.Finally

the quality metric was constructed by quantifying the difference between predicted energy and real energy in degradation image.Experimental results showed that the new method was consistent with subjective assessment and outperformed the other methods.