红外技术, 2010, 32 (9): 527, 网络出版: 2010-12-07  

基于人眼视觉的小波域结构相似性图像质量客观评价方法

Image Quality Objective Assessment Method of Wavelet Domain Structure Similarity Based on Human Vision
作者单位
1 北京理工大学光电成像技术与系统教育部重点实验室,北京 100081
2 黄石理工学院数理学院, 湖北 黄石 435000
摘要
针对空域结构相似性评价方法在几何失真图像及噪声污染图像的质量评价中存在的不足,在考虑人眼视觉特性前提下,研究了一种基于人眼视觉的小波域结构相似度的图像质量评价方法(WDSSIM)。该方法首先将参考图像和失真图像进行小波变换,以获取不同尺度和频带的子带图像,并根据人眼视觉JND 模型,获取人眼视觉对参考图像的带间敏感度和各子带的带内敏感度;然后,以带内敏感度因子为权值分别求取参考图像和失真图像同一尺度和频带的子带图像之间的结构相似度;最后,以带间敏感度因子为权值对各子带对的结构相似度进行加权归一化,获得整幅图像的结构相似度。实验结果表明,WDSSIM 方法符合人眼视觉特性,相比传统的客观评价方法,与主观评价结果的一致性更好。
Abstract
An image quality objective assessment method of wavelet domain structure similarity (WDSSIM) based on human visual is proposed by considering human visual features for some deficiencies of spatial structural similarity(SSIM) assessment method in assessing the quality of geometric distorted images and noise contaminated images. The method includes three steps: a) decomposing the reference image and distorted image into sub-band images with different scales and frequencies by wavelet transform, and acquiring human visual inband sensitivity and interband sensitivity according to human visual JND model; b) measuring the structural similarity between the same scale and frequency subband images of the reference image and distorted image respectively using inband sensitivity as weights; c) obtaining structural similarity of the whole image by averaging the weighted SSIM of each pair sub-band images using interband sensitivity as weights. Experimental results show that WDSSIM method is agree with human visual features and its objective results are more consistent with the subjective assessment results than traditional methods.

余宏生, 金伟其, 刘修生. 基于人眼视觉的小波域结构相似性图像质量客观评价方法[J]. 红外技术, 2010, 32(9): 527. YU Hong-sheng, JIN Wei-qi, LIU Xiu-sheng. Image Quality Objective Assessment Method of Wavelet Domain Structure Similarity Based on Human Vision[J]. Infrared Technology, 2010, 32(9): 527.

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