Evaluating Quality of DIBR-synthesized Views based on Texture and Perceptual Hashing Similarity

Author:

Zheng Dongsheng1ORCID,Zhang Huan1ORCID,Cao Jiangzhong1ORCID,Zhang Xu1ORCID,Yao Ximei1ORCID,Ling Wing Kuen1ORCID

Affiliation:

1. School of Information Engineering, Guangdong University of Technology, China

Funder

GuangDong Basic and Applied Basic Research Foundation

Guangdong Provincial Key Laboratory of Intellectual Property & Big Data

Publisher

ACM

Reference27 articles.

1. Towards a New Quality Metric for 3-D Synthesized View Assessment

2. Christoph Fehn . 2004. Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV . In Stereoscopic displays and virtual reality systems XI, Vol. 5291 . SPIE , 93–104. Christoph Fehn. 2004. Depth-image-based rendering (DIBR), compression, and transmission for a new approach on 3D-TV. In Stereoscopic displays and virtual reality systems XI, Vol. 5291. SPIE, 93–104.

3. Perceptual Hashing With Visual Content Understanding for Reduced-Reference Screen Content Image Quality Assessment

4. A Highly Efficient Blind Image Quality Assessment Metric of 3-D Synthesized Images Using Outlier Detection

5. No-Reference Perceptual Image Sharpness Index Using Normalized DCT-based Representation

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