%0 Generic %1 deshpande2014motion %A Deshpande, Anand %A Prashant, %A Patavardhan, P. %A Rao, D. H. %B Int. Conf. on Recent Trends in Information, Telecommunication and Computing , ITC %D 2014 %I ACEEE (A Computer division of IDES) %K Super estimation motion resolution %T Motion Estimation Algorithms i n Video Super - Resolution %U http://searchdl.org/public/conference/2014/ITC/557.pdf %X Super - resolution (SR) is the process of obtaining a high resolution (HR) image or a sequence of HR images from a set of low resolution (LR) observations. The block matching algorithms used for motion estimation to obtain motion vectors between the frames in Super - resolution. The implementation and comparison of two different types of block matching algorithms viz. Exhaustive Search (ES) and Spiral Search (SS) are discussed. Advantages of each algorithm are given in terms of motion estimation computational complexity and Peak Signal to Noise Ratio (PSNR). The Spiral Search algorithm achieves PSNR close to that of Exhaustive Search at less computation time than that of Exhaustive Search. The algorithms that are evaluated in this paper are widely used in video super -resolution and also have been used in implementing various video standards like H.263, MPEG4, H.264

@conference{deshpande2014motion, abstract = {Super - resolution (SR) is the process of obtaining a high resolution (HR) image or a sequence of HR images from a set of low resolution (LR) observations. The block matching algorithms used for motion estimation to obtain motion vectors between the frames in Super - resolution. The implementation and comparison of two different types of block matching algorithms viz. Exhaustive Search (ES) and Spiral Search (SS) are discussed. Advantages of each algorithm are given in terms of motion estimation computational complexity and Peak Signal to Noise Ratio (PSNR). The Spiral Search algorithm achieves PSNR close to that of Exhaustive Search at less computation time than that of Exhaustive Search. The algorithms that are evaluated in this paper are widely used in video super -resolution and also have been used in implementing various video standards like H.263, MPEG4, H.264 }, added-at = {2014-03-21T12:03:25.000+0100}, author = {Deshpande, Anand and Prashant and Patavardhan, P. and Rao, D. H.}, biburl = {https://www.bibsonomy.org/bibtex/2df93004955ee56ae649db1af9fb9b183/idescitation}, booktitle = {Int. Conf. on Recent Trends in Information, Telecommunication and Computing , ITC}, interhash = {23474ce4b38cb10392c541b6c3d57dd4}, intrahash = {df93004955ee56ae649db1af9fb9b183}, keywords = {Super estimation motion resolution}, publisher = {ACEEE (A Computer division of IDES)}, timestamp = {2014-03-21T12:03:25.000+0100}, title = {Motion Estimation Algorithms i n Video Super - Resolution }, url = {http://searchdl.org/public/conference/2014/ITC/557.pdf}, year = 2014 }