关键词: 图像质量评价, 人眼视觉系统（HVS）, 结构相似度, 边缘信息

Abstract: The human visual characteristics to evaluate image quality has been a hot research field of image processing. However lots of metrics do not fully consider the characteristics of human visual system (HVS). For the deficiencies of current work, this paper proposes a metric based on edge and gradient information. Firstly, wavelet transform modulus maxima is used to detect edge and gradient. Then, different image regions are weighted with Gaussian function. Finally, the assessment method is proposed. The experimental results show that this method can measure the quality of different distorted images accurately and effectively, and its consistency with subjective evaluation value is better than other metrics. The experimental results also show that the performance of this method has been improved greatly.

Key words: image quality assessment, human visual system (HVS), structural similarity, edge information