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。
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.
出处
《计算机工程》
CAS
CSCD
2012年第5期19-24,共6页
Computer Engineering
基金
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)
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
Image Quality Assessment(IQA)
subjective quality
Human Visual System(HVS)
contrast sensitivity
Discrete Wavelet Transform(DWT)
Structural Similarity(SSIM)