Title :
Super resolution using variable size block-matching motion estimation with rotation
Author :
Anagun, Y. ; Seke, Erol
Author_Institution :
Comput. Eng. Dept., Eskisehir Osmangazi Univ., Eskişehir, Turkey
Abstract :
Motion estimation (ME) for image sequences is one of the important processes in image restoration. Block matching algorithms can be used for local ME. Recently, the variable block size motion estimation (VBS-ME) has been received attention in order to improve the performance of the block matching algorithms. In this paper, we have evaluated variable-sized-block-matching ME with rotation in the registration step. Results of proposed method are compared with exhaustive search (ES) that does not consider rotation and static block size (BS) angle search (AS) that considers rotation. Both peak-signal-to-noise-ratio (psnr) and visual quality are used in comparison of all three methods.
Keywords :
image matching; image resolution; image restoration; image sequences; motion estimation; search problems; PSNR; angle search; block matching algorithms; exhaustive search; image restoration; image sequences; local ME; peak-signal-to-noise-ratio; rotation block size; static block size; super resolution; variable size block-matching motion estimation; visual quality; Image reconstruction; Interpolation; Motion estimation; Signal resolution; Spatial resolution; Strontium; Angle Search; Block Motion Estimation; Exhaustive Search; Registration;
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2012 International Symposium on
Conference_Location :
Trabzon
Print_ISBN :
978-1-4673-1446-6
DOI :
10.1109/INISTA.2012.6247017
