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
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;
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
DOI :
10.1109/IDAACS.2013.6662716
