TY - JOUR
TI - Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation
AU - Veres, Zenoviy
TI - Adaptive trained filters with SSIM optimization for video upscaling with soft pixel value truncation
AB - 
	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.
VL - 2013
IS - Automatyka Zeszyt 4-AC (12) 2013
PY - 2014
SN - 0011-4561
C1 - 2353-737X
SP - 89
EP - 101
DO - 10.4467/2353737XCT.14.050.3958
UR - https://ejournals.eu/czasopismo/czasopismo-techniczne/artykul/adaptive-trained-filters-with-ssim-optimization-for-video-upscaling-with-soft-pixel-value-truncation
KW - image and video interpolation
KW - up-scaling
KW - image quality