计算机工程 ›› 2012, Vol. 38 ›› Issue (5): 19-24.doi: 10.3969/j.issn.1000-3428.2012.05.005

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频率与方向敏感SSIM的图像质量评价方法

马丽红,龚紫平   

  1. (华南理工大学电子与信息学院广东省无线通信网络与终端重点实验室,广州 510640)
  • 收稿日期:2011-08-22 出版日期:2012-03-05 发布日期:2012-03-05
  • 作者简介:马丽红(1965-),女,教授、博士,主研方向:视频信号处理,容错编码,数据隐藏,模式识别;龚紫平,硕士研究生
  • 基金项目:

    国家自然科学基金资助项目(60972133);广东省自然科 学基金资助项目(9351064101000003);广东省绿色能源技术重点实 验室基金资助项目(2008A060301002)

Image Quality Assessment Method for Frequency and Direction Sensitive SSIM

MA Li-hong, GONG Zi-ping   

  1. (Guangdong Key Laboratory of Wireless Communication Network and Terminal, School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China)
  • Received:2011-08-22 Online:2012-03-05 Published:2012-03-05

摘要:

将人眼视觉对比敏感度的空间频率及方向特性,引入到结构相似度(SSIM)计算中,提出一种对频率与方向敏感度加权的结构相似度评价方法。对图像进行多级小波分解并计算各个子带的SSIM值,根据子带能量比重,对同一分解级下不同方向的子带SSIM值进行加权,以对比敏感度函数(CSF)的方向敏感性,根据CSF的子带响应对各个分解级进行加权,显示CSF的频率敏感性。在LIVE2及TID2008图像质量数据库上的仿真结果表明,与其他图像质量评价方法相比,该方法评价结果与主观评价具有较好的一致性。

关键词: 图像质量评价, 主观质量, 人类视觉系统, 对比敏感度, 离散小波变换, 结构相似度

Abstract:

This paper introduces the special frequency and direction properties of contrast sensitivity of human vision into the calculation of Structural Similarity(SSIM), and proposes a new structural similarity quality assessment method, called Frequency Direction Sensitive Structural Similarity(FDSSS). The value of each sub-band SSIM of the wavelet-decomposed image is calculated. To reflect the direction sensitivity of CSF, SSIM values of sub-bands under the same decomposition level with different directions are weighted according to their relative energy. To reflect the frequency sensitivity of CSF, SSIM values of each decomposition level are weighted based on the frequency magnitudes of each sub-band of CSF. Simulations results in LIVE2 and TID2008 database show that the proposed method is more consistent with subjective evaluation and outperforms than several other popular image quality assessment methods.

Key words: Image Quality Assessment(IQA), subjective quality, Human Visual System(HVS), contrast sensitivity, Discrete Wavelet Transform (DWT), Structural Similarity(SSIM)

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