DIBR-Synthesized Image Quality Assessment via Statistics of Edge Intensity and Orientation

Yu ZHOU  Leida LI  Ke GU  Zhaolin LU  Beijing CHEN  Lu TANG  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E100-D   No.8   pp.1929-1933
Publication Date: 2017/08/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.2016EDL8255
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
Keyword: 
quality evaluation,  DIBR,  edge intensity,  edge orientation,  

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Summary: 
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.