CLC number: TP391
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
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SHIH Timothy K., CHANG Rong-chi. Super-resolution inpainting[J]. Journal of Zhejiang University Science A, 2005, 6(6): 487-491.
@article{title="Super-resolution inpainting",
author="SHIH Timothy K., CHANG Rong-chi",
journal="Journal of Zhejiang University Science A",
volume="6",
number="6",
pages="487-491",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.A0487"
}
%0 Journal Article
%T Super-resolution inpainting
%A SHIH Timothy K.
%A CHANG Rong-chi
%J Journal of Zhejiang University SCIENCE A
%V 6
%N 6
%P 487-491
%@ 1673-565X
%D 2005
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.A0487
TY - JOUR
T1 - Super-resolution inpainting
A1 - SHIH Timothy K.
A1 - CHANG Rong-chi
J0 - Journal of Zhejiang University Science A
VL - 6
IS - 6
SP - 487
EP - 491
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2005.A0487
Abstract: Image or video resources are often received in poor condition, mostly with noise or defects making the resources hard to read. We propose an effective algorithm based on digital image inpainting. The mechanism can be used in restoring images or video frames with very high noise or defect ratio (e.g., 90%). The algorithm is based on the concept of image subdivision and estimation of color variations. Noises inside blocks of different sizes are inpainted with different levels of surrounding information. The results showed that an almost unrecognizable image can be recovered with visually good result. The algorithm can be further extended for processing motion picture with high percentage of noise.
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Open peer comments: Debate/Discuss/Question/Opinion
<1>
nanthini<nandhu6614@gmail.com>
2014-04-22 17:57:28
im in urgent for preparing thesis of this project can u help me
ksr@none<sathireddy@ymail.com>
2014-04-14 02:15:34
good paper.