Please use this identifier to cite or link to this item:
https://open.uns.ac.rs/handle/123456789/5364
Title: | DIBR synthesized image quality assessment based on morphological pyramids | Authors: | Sandić-Stanković D. Kukolj, Dragan Le Callet P. |
Issue Date: | 27-Jul-2015 | Journal: | 3DTV-Conference | Abstract: | © 2015 IEEE. Most Depth Image Based Rendering (DIBR) techniques produce synthesized images which contain non-uniform geometric distortions affecting edges coherency. This type of distortions are challenging for common image quality metrics. Morphological filters maintain important geometric information such as edges across different resolution levels. There is inherent congruence between the morphological pyramid decomposition scheme and human visual perception. In this paper, multi-scale measure, morphological pyramid peak signal-to-noise ratio MP-PSNR, based on morphological pyramid decomposition is proposed for the evaluation of DIBR synthesized images. It is shown that MPPSNR achieves much higher correlation with human judgment compared to the state-of-the-art image quality measures in this context. | URI: | https://open.uns.ac.rs/handle/123456789/5364 | ISBN: | 9781467380904 | ISSN: | 21612021 | DOI: | 10.1109/3DTV.2015.7169368 |
Appears in Collections: | FTN Publikacije/Publications |
Show full item record
SCOPUSTM
Citations
53
checked on May 3, 2024
Page view(s)
11
Last Week
1
1
Last month
0
0
checked on May 10, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.