Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation
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RIS BIB ENDNOTEAdaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation
Data publikacji: 25.09.2014
Czasopismo Techniczne, 2013, Automatyka Zeszyt 4-AC (12) 2013, s. 89 - 101
https://doi.org/10.4467/2353737XCT.14.050.3958Autorzy
Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation
The paper presents the modified model for video upscaling based on the preservation of structural information from the input sequence in the adaptive trained filters. Additionally, it is proposed to make soft truncation of the result pixel value during the interpolation process. The evaluation of the proposed algorithm has shown good resulting for a variety of test sequences. The best results are obtained for a sequence with average bitrate and movement of the scene. Received results prove the algorithm is valuable for upscaling tasks.
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Informacje: Czasopismo Techniczne, 2013, Automatyka Zeszyt 4-AC (12) 2013, s. 89 - 101
Typ artykułu: Oryginalny artykuł naukowy
Tytuły:
Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation
Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation
Department of Computerized Automatic Systems, Lviv Polytechnic National University
Publikacja: 25.09.2014
Status artykułu: Otwarte
Licencja: Żadna
Udział procentowy autorów:
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AngielskiLiczba wyświetleń: 1903
Liczba pobrań: 1201