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https://open.uns.ac.rs/handle/123456789/6677
Nаziv: | DIBR synthesized image quality assessment based on morphological wavelets | Аutоri: | Sandić-Stanković D. Kukolj, Dragan Le Callet P. |
Dаtum izdаvаnjа: | 1-јан-2015 | Čаsоpis: | 2015 7th International Workshop on Quality of Multimedia Experience, QoMEX 2015 | Sažetak: | © 2015 IEEE. Most of the Depth Image Based Rendering (DIBR) techniques produce synthesized images which contain nonuniform 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. In this paper, morphological wavelet peak signal-to-noise ratio measure, MW-PSNR, based on morphological wavelet decomposition is proposed to tackle the evaluation of DIBR synthesized images. It is shown that MW-PSNR 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/123456789/6677 | ISBN: | 9781479989584 | DOI: | 10.1109/QoMEX.2015.7148143 |
Nаlаzi sе u kоlеkciјаmа: | FTN Publikacije/Publications |
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