We consider the problem of recovering a high-resolution (HR) frame from a sequence of low-resolution (LR) frames. It is challenging to design a super-resolution (SR) algorithm for arbitrary video sequences. Video frames in general cannot be related through global parametric transformation due to the arbitrary individual pixel movement between frame pairs. Hence a local motion model needs to be used for frame alignment. An accurate alignment is the key to success of reconstruction-based super-resolution algorithms. Motivated by this challenge we propose to employ region-matching technique for image registration in this paper. The proposed algorithm consists of the alignment step to produce a blurred version of the HR frame and the restoration step to estimate the HR frame. The experimental results of the proposed algorithm are compared with the results of using affine, block matching, and optical flow motion models. It is shown that the use of region matching for SR is very promising in producing higher quality images.

Date Published: 29 January 2007
PDF: 11 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65081O (29 January 2007); doi: 10.1117/12.703476

Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)