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Image Restoration using Digital Inpainting and Superresolution

Published on May 2015 by Prabodh G. Jadhav, Sayali S. Waje, Prasad S. Raut, Sunita Naik
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National Conference on Role of Engineers in Nation Building
Foundation of Computer Science USA
NCRENB2015 - Number 1
May 2015
Authors: Prabodh G. Jadhav, Sayali S. Waje, Prasad S. Raut, Sunita Naik
79aff179-9f41-428d-988e-2abf09ebfb79

Prabodh G. Jadhav, Sayali S. Waje, Prasad S. Raut, Sunita Naik . Image Restoration using Digital Inpainting and Superresolution. National Conference on Role of Engineers in Nation Building. NCRENB2015, 1 (May 2015), 1-4.

@article{
author = { Prabodh G. Jadhav, Sayali S. Waje, Prasad S. Raut, Sunita Naik },
title = { Image Restoration using Digital Inpainting and Superresolution },
journal = { National Conference on Role of Engineers in Nation Building },
issue_date = { May 2015 },
volume = { NCRENB2015 },
number = { 1 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/ncrenb2015/number1/20965-7002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Role of Engineers in Nation Building
%A Prabodh G. Jadhav
%A Sayali S. Waje
%A Prasad S. Raut
%A Sunita Naik
%T Image Restoration using Digital Inpainting and Superresolution
%J National Conference on Role of Engineers in Nation Building
%@ 0975-8887
%V NCRENB2015
%N 1
%P 1-4
%D 2015
%I International Journal of Computer Applications
Abstract

This paper introduces combination of two image processing techniques i. e. Inpainting and Super resolution. It consist of performing inpainting on input image using Enhanced Exemplar based algorithm and then converting it into high resolution using Single frame super resolution algorithm. Enhanced exemplar based algorithm fills selected target region with suitable patches from the surrounding image area. Once the input image is inpainted, it is then converted to high resolution using single frame super resolution algorithm. The single frame super resolution algorithm used in this approach does not require a predefined training set thus increasing its performance for its practical use.

References
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  2. Ye-fei Liu, Fu-Long Wang, Xiang-yan Xi. 2013. Enhanced algorithm for Exemplar based Inpainting. Ninth International Conference on Computational Intelligence and Security.
  3. Yunsong Guo, Lijuan Li. 2013. Exemplar-based Image Inpainting under Smoothness Constraint. International Conference on Computational and Information Sciences.
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  9. Heng Su, Liang Tang, Ying Wu, Daniel Tretter, Jie Zhou. 2010. Spatially Adaptive Block-based Super-resolution. IEEE Transactions on Image Processing, Vol. 21, No. 3.
  10. Min-Chun Yang and Yu-Chiang Frank Wang. 2013. A Self-Learning Approach to Single Image Super-Resolution. IEEE Transactions on Multimedia, Vol. 15, No. 3.
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  12. Ms. Dharani S. 2014. A Self Learning Optimization Approach to Single Image Super resolution using Kernal ridge regression model. International Journal of Innovative research in Computer and Communication Engineering. Volume 2, Issue 1.
Index Terms

Computer Science
Information Sciences

Keywords

Inpainting Superresolution Single Frame Superresolution Exemplar Algorithm