Stereoscopic Image Quality Assessment Model with Three-Component Weighted Structure Similarity

摘要：

In this paper, art objective assessment model based on three-component weighted structural similarity is presented for stereoscopic image. Since different distortions affect details of stereoscopic image differently, the image is classified into three kinds of regions including edge, smooth and texture regions so that different weights are associated to different regions to assess distorted stereoscopic image. The experimental results show that the assessment scores are consistent with subjective stereoscopic perception when stereoscopic image is degraded by blur, white noise, JPEG and JPEG 2000 process. Thus the objective assessment results can well reflect the image quality and stereoscopic perception.

作者: Xiangying Mao Mei Yu Xu Wang Gangyi Jiang Zongju Peng Junming Zhou

作者单位: Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China National Key

会议类型: 国际会议

会议名称: 2010 International Conference on Audio,Language and Image Processing(2010年音频、语言与图像处理国际会议 ICALIP 2010)

会议地点: 上海

会议语种:英文

页码: 1175-1179

在线出版日期: 2010-11-23（万方平台首次上网日期，不代表论文的发表时间）