DocumentCode
2205494
Title
Adaptive trained filters with SSIM optimization and pixel value truncation for video upscaling
Author
Veres, Zenoviy ; Nakonechny, Adrian
Author_Institution
Lviv Polytech. Nat. Univ., Lviv, Ukraine
fYear
2013
fDate
12-14 Sept. 2013
Firstpage
404
Lastpage
407
Abstract
The adaptive trained filter for video upscaling based on optimization of structural similarity index is presented. Experimental results show that proposed algorithm has improved results for upscaled videos with low bitrates.
Keywords
adaptive filters; video signal processing; SSIM optimization; adaptive trained filters; bitrates; pixel value truncation; structural similarity index; upscaled videos; video upscaling; Filtering algorithms; High definition video; Image quality; Information filters; Interpolation; Training; Structural Similarity Index; Trained Filters; Video Resolution Upconversion; Video Upscaling;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), 2013 IEEE 7th International Conference on
Conference_Location
Berlin
Print_ISBN
978-1-4799-1426-5
Type
conf
DOI
10.1109/IDAACS.2013.6662716
Filename
6662716
Link To Document