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A Review on Patch Based Image Restoration or Inpainting

K. Singh1 , J. Shaveta2

Section:Review Paper, Product Type: Journal Paper
Volume-5 , Issue-3 , Page no. 119-123, Mar-2017

Online published on Mar 31, 2017

Copyright © K. Singh, J. Shaveta . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: K. Singh, J. Shaveta, “A Review on Patch Based Image Restoration or Inpainting,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.3, pp.119-123, 2017.

MLA Style Citation: K. Singh, J. Shaveta "A Review on Patch Based Image Restoration or Inpainting." International Journal of Computer Sciences and Engineering 5.3 (2017): 119-123.

APA Style Citation: K. Singh, J. Shaveta, (2017). A Review on Patch Based Image Restoration or Inpainting. International Journal of Computer Sciences and Engineering, 5(3), 119-123.

BibTex Style Citation:
@article{Singh_2017,
author = {K. Singh, J. Shaveta},
title = {A Review on Patch Based Image Restoration or Inpainting},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2017},
volume = {5},
Issue = {3},
month = {3},
year = {2017},
issn = {2347-2693},
pages = {119-123},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1221},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1221
TI - A Review on Patch Based Image Restoration or Inpainting
T2 - International Journal of Computer Sciences and Engineering
AU - K. Singh, J. Shaveta
PY - 2017
DA - 2017/03/31
PB - IJCSE, Indore, INDIA
SP - 119-123
IS - 3
VL - 5
SN - 2347-2693
ER -

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Abstract

Blocking artefacts occurs almost in every compression technology including the most renowned JPEG compression. To minimize the blocking artefact problem, several researches have been done. But adaptively lacks in those algorithms which leads to complex calculation and distortion in the image. In this paper, we have proposed adaptive neighbourhood selection in a way that balances the exactness of approximation. The proposed method is iterative and spontaneously adapts to the degree of underlying smoothness. Our proposed method also restores distorted cracked images along with compressed blocking artefacts.

Key-Words / Index Term

JPEG, Artefacts , Image, DCT

References

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