
Proceedings Paper
Super-resolution based on region-matching motion estimationFormat | Member Price | Non-Member Price |
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Paper Abstract
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.
Paper Details
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)
PDF: 11 pages
Proc. SPIE 6508, Visual Communications and Image Processing 2007, 65081O (29 January 2007); doi: 10.1117/12.703476
Show Author Affiliations
Osama A. Omer, Tokyo Univ. of Agriculture and Technology (Japan)
Toshihisa Tanaka, Tokyo Univ. of Agriculture and Technology (Japan)
Published in SPIE Proceedings Vol. 6508:
Visual Communications and Image Processing 2007
Chang Wen Chen; Dan Schonfeld; Jiebo Luo, Editor(s)
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