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A Survey on Analysis of a Noisy Image by using External and Internal Correlations

by Pratima, Jitendra Kurmi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 161 - Number 9
Year of Publication: 2017
Authors: Pratima, Jitendra Kurmi
10.5120/ijca2017913236

Pratima, Jitendra Kurmi . A Survey on Analysis of a Noisy Image by using External and Internal Correlations. International Journal of Computer Applications. 161, 9 ( Mar 2017), 18-22. DOI=10.5120/ijca2017913236

@article{ 10.5120/ijca2017913236,
author = { Pratima, Jitendra Kurmi },
title = { A Survey on Analysis of a Noisy Image by using External and Internal Correlations },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2017 },
volume = { 161 },
number = { 9 },
month = { Mar },
year = { 2017 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume161/number9/27176-2017913236/ },
doi = { 10.5120/ijca2017913236 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:06:59.463882+05:30
%A Pratima
%A Jitendra Kurmi
%T A Survey on Analysis of a Noisy Image by using External and Internal Correlations
%J International Journal of Computer Applications
%@ 0975-8887
%V 161
%N 9
%P 18-22
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

When a noisy image is a single image then it suffers from limited data collection in denoising it. In this paper, we propose image denoising scheme, which explores both internal and external correlation with the help of web images. In this paper, we use two stage filtering technique for denoising the image in the first stage we use graph-cut based patch matching and frequency truncation and then combining result of both filter and enter into the second stage in the second stage we use adaptive filtering and wiener filtering for denoising the noisy image and then combining the result of both filter. By using two stage filtering technique we get better filtered image.

References
  1. Kalpana, and Harjinder Singh,Nov.2015, “Review Paper:to study the image denoising techniques”, Vol 02,pp.127-129 .
  2. Rohit Verma, and Dr. Jahid Ali,Oct.2013,”A Comparative study of various types of image noise and efficient noise removal techniques”,vol.3, issue 10, pp.617 -622.
  3. Priyanka Kamboj et al.,April.2013,” Brief study of various noise model and filtering techniques”, vol.4, No.4, pp.166-17.
  4. A. Buades, B. Coll, and J.-M. Morel,Jun.2005, “A non-local algorithm for image denoising,” in Proc. IEEE Comput.So Conf. CVPR,pp. 60–65.
  5. D. Zoran and Y. Weiss,Nov,2011,“From learning models of natural image patches to whole image restoration,” in Proc.IEEE ICCV, pp.479–486.
  6. I. Mosseri, M. Zontak, and M. Irani,Apr.2013 “Combining the power of internal and external denoising,” in Proc.IEEE, pp. 1–9.
  7. H. Yue, X. Sun, J. Yang, and F. Wu,Jun.2014 “CID: Combined image denoising in spatial and frequency domains using web images,” in Proc. IEEE Conf. CVPR,pp. 2933– 2940.
  8. L. Dai, X. Sun, F. Wu, and N. Yu,Sep.2013 “Large scale image retrieval with visual groups,” in Proc.20th IEEE Int.Conf.Image Process. (ICIP), pp. 2582–2586.
  9. C. Barnes, E. Shechtman,2010,D. B. Goldman, and A.Finkelstein, “The generalized PatchMatch correspondence algorithm,” in Proc. 11th ECCV, pp. 29–43.
  10. K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian,Aug.2007, “Image denoising by sparse 3-D transform-domain collaborative filtering,” IEEE Trans.Image Process., vol. 16, no. 8, pp.2080–2095.
  11. H. C. Burger and S. Harmeling,2011,“Improving denoising algorithms via a multi-scale meta procedure,” in Proc.33rd Int. Conf. Pattern Recognit., pp. 206–215.
  12. M. Zontak,I. Mosseri, and M. Irani,2013 “Separating signal from noise using patch recurrence across scales,” in Proc. IEEE Conf. CVPR, pp. 1195–1202.
  13. M. Zontak and M. Irani,Jun.2011, “Internal statistics of a single natural image,”in Proc. IEEE Conf. CVPR, pp.977–984.
Index Terms

Computer Science
Information Sciences

Keywords

Image denoising external correlations Internal correlations web images wiener filter adaptive filter.

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