Title :
Fast super-resolution from video data using optical flow estimation
Author :
Krylov, Andrey ; Nasonov, Andrey
Author_Institution :
Fac. of Comput. Math. & Cybern., Moscow Lomonosov State Univ., Moscow
Abstract :
Regularization-based and a fast non-iterative methods using optical flow estimation are suggested for video data super-resolution with correction of non-uniform illumination.
Keywords :
image resolution; image sequences; iterative methods; fast noniterative methods; fast super-resolution; nonuniform illumination; optical flow estimation; regularization-based method; video data; video data super-resolution; Biomedical optical imaging; Cybernetics; Data flow computing; Image motion analysis; Image reconstruction; Mathematics; Optical computing; Optical filters; State estimation; Strontium;
Conference_Titel :
Signal Processing, 2008. ICSP 2008. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2178-7
Electronic_ISBN :
978-1-4244-2179-4
DOI :
10.1109/ICOSP.2008.4697262
