Image Quality Assessment Based on Local Edge Direction Histogram

摘要：

In this paper, we propose a new edge direction histogram (EDH) based on a structural similarity method for image quality assessment. We were motivated by the fact that the structural information of image can be described by the distribution of gradient magnitudes, as well as the one of edge directions. Therefore, we introduce the edge direction histogram to robustly represent the distribution of edge magnitudes and directions simultaneously. We further develop a distance metric to evaluate the quality of images by computing the structural similarity between EDH descriptors of the reference and the distorted one. Experimental results show that the proposed method outperforms some wellknown full-reference image quality metrics.

关键词： image quality assessment edge direction histogram structural similarity

作者: Xiaolin Chen Rui Zhang Shibao Zheng

作者单位: Institute of Image Communication and Information Processing, Department of Electronic Engineering,Shanghai Key Laboratory of Digital Media Processing and Transmissions,Shanghai Jiao Tong University, Shanghai 200240, China

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 108-112

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）