Full Text:   <3041>

CLC number: TP391

On-line Access: 

Received: 2005-04-20

Revision Accepted: 2005-04-30

Crosschecked: 0000-00-00

Cited: 0

Clicked: 5737

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
Open peer comments

Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.6 P.487-491

http://doi.org/10.1631/jzus.2005.A0487


Super-resolution inpainting


Author(s):  SHIH Timothy K., CHANG Rong-chi

Affiliation(s):  Department of Computer Science and Information Engineering, Tamkang University, Taipei, Taiwan 25137, China

Corresponding email(s):   tshih@cs.tku.edu.tw, roger@mail.mine.tku.edu.tw

Key Words:  Image inpainting, Super resolution, Image processing


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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Bertalmio, M., Sapiro, G., Caselles, V., Ballester, C., 2000. Image Inpainting. ACM SIGGRAPH Conference on Computer Graphics, SIGGRAPH 2000, p.417-424.

[2] Bertalmio, M., Vese, L., Sapiro, G., Osher, S., 2003. Simultaneous structure and texture image inpainting. IEEE Transactions on Image Processing, 12(8):882-889.

[3] Bornard, R., Lecan, E., Laborelli, L., Chenot, J.H., 2002. Missing Data Correction in Still Images and Image Sequences. Proc. ACM International Conference on Multimedia, p.355-361.

[4] Criminisi, A., Perez, P., Toyama, K., 2004. Region filling and object removal by exemplar-based image inpainting. IEEE Transactions Image Processing, 13:1200-1212.

[5] Drori, I., Cohen-Or, D., Yeshurun, H., 2003. Fragment-based image completion. ACM Transactions on Graphics, 22(3):303-312.

[6] Oliveira, M.M., Bowen, B., McKenna, R., Chang, Y.S., 2001. Fast Digital Image Inpainting. International Conference on Visualization, Imaging and Image Processing, p.261-266.

[7] Yamauchi, H., Haber, J., Seidel, H.P., 2003. Image Restoration Using Multiresolution Texture Synthesis and Image Inpainting. Computer Graphics International, CGI’03, p.108-113.

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.

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2022 Journal of Zhejiang University-SCIENCE