DocumentCode :
1041676
Title :
On ambiguities in super-resolution modeling
Author :
Wang, Zhaozhong ; Qi, Feihu
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., China
Volume :
11
Issue :
8
fYear :
2004
Firstpage :
678
Lastpage :
681
Abstract :
Some models for super-resolution restoration assume that low-resolution (LR) images are formed from high-resolution (HR) ones by a warping first, blurring second (followed by decimating) imaging process; whereas others adopt a blurring first, warping second imaging constraint. These models are abused to some extent and respective conditions for usability of them are not identified. Such ambiguities are analyzed and cleared up in this letter. Conclusions are: The warping-blurring model coincides with the general imaging physics, but it is usable only if the motion among HR images is known a priori. When the motion is estimated from LR images, this model may cause systematic error, but the use of the blurring-warping model is more appropriate, and leads to better performance.
Keywords :
image resolution; image restoration; motion estimation; LR image; imaging physics; motion estimation; super-resolution modeling; systematic error; warping-blurring model; Algorithm design and analysis; Cameras; High-resolution imaging; Image analysis; Image generation; Image resolution; Image restoration; Motion estimation; Optical imaging; Physics; Blurring; imaging model; motion estimation; operator; super-resolution; warping;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2004.831674
Filename :
1316884
Link To Document :
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