Full-Reference Image Quality Assessment via Region-Based Analysis

摘要：

Image quality assessment (IQA) plays an important role in many image processing systems. Based on the fact that different image components have different visual impact, we propose a new region-based method using a three-region image model and Back Propagation (BP) neural network. Experimental results show that our algorithm is obviously better than the peer image quality assessment method, using the Laboratory for Image and Video Engineering (LIVE) database as a test-bed.

关键词： Image quality assessment (IQA) back propagation (BP) neural network region-based analysis

作者: Ke Gu Wenjun Zhang Ci Wang Guangtao Zhai

作者单位: Institute of Image Communication and Information processing Shanghai Jiaotong University Shanghai, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 1741-1745

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）