IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Regular Section
DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation
Yu ZHOULeida LIKe GUZhaolin LUBeijing CHENLu TANG
Author information
JOURNAL FREE ACCESS

2017 Volume E100.D Issue 8 Pages 1929-1933

Details
Abstract

Depth-image-based-rendering (DIBR) is a popular technique for view synthesis. The rendering process mainly introduces artifacts around edges, which leads to degraded quality. This letter proposes a DIBR-synthesized image quality metric by measuring the Statistics of both Edge Intensity and Orientation (SEIO). The Canny operator is first used to detect edges. Then the gradient maps are calculated, based on which the intensity and orientation of the edge pixels are computed for both the reference and synthesized images. The distance between the two intensity histograms and that between the two orientation histograms are computed. Finally, the two distances are pooled to obtain the overall quality score. Experimental results demonstrate the advantages of the presented method.

Related papers from these authors
© 2017 The Institute of Electronics, Information and Communication Engineers
Previous article Next article
feedback
Top