CFP last date
15 April 2024
Reseach Article

Image Denoising by using Local Pixel Grouping with PCA and SVD along with JBF and Median Filters

Published on July 2016 by Rachana A. Dhannawat, Archana B. Patankar
International Conference on Communication Computing and Virtualization
Foundation of Computer Science USA
ICCCV2016 - Number 1
July 2016
Authors: Rachana A. Dhannawat, Archana B. Patankar
9bc7cea5-6c13-4c51-95fb-7f86cee91ca5

Rachana A. Dhannawat, Archana B. Patankar . Image Denoising by using Local Pixel Grouping with PCA and SVD along with JBF and Median Filters. International Conference on Communication Computing and Virtualization. ICCCV2016, 1 (July 2016), 0-0.

@article{
author = { Rachana A. Dhannawat, Archana B. Patankar },
title = { Image Denoising by using Local Pixel Grouping with PCA and SVD along with JBF and Median Filters },
journal = { International Conference on Communication Computing and Virtualization },
issue_date = { July 2016 },
volume = { ICCCV2016 },
number = { 1 },
month = { July },
year = { 2016 },
issn = 2249-0868,
pages = { 0-0 },
numpages = 1,
url = { /proceedings/icccv2016/number1/913-1651/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Communication Computing and Virtualization
%A Rachana A. Dhannawat
%A Archana B. Patankar
%T Image Denoising by using Local Pixel Grouping with PCA and SVD along with JBF and Median Filters
%J International Conference on Communication Computing and Virtualization
%@ 2249-0868
%V ICCCV2016
%N 1
%P 0-0
%D 2016
%I International Journal of Applied Information Systems
Abstract

This paper proposed a new technique for image denoising [1] [2] [8] [10] [14] using local pixel grouping, SVD and Joint Bilateral Filter. The paper also proposed use of LPGSVD with median filter. It is found that bilateral filter technique works well for Gaussian noise [22] whereas median filter when applied to the output of LPGSVD improves results for salt & pepper noise [22]. The results are compared using PSNR and SSIM [16] performance metrics.

References
  1. Antoni Buades, Bartomeu Coll, Jean-Michel Morel," A non-local algorithm for image denoising," IEEE International Conference on Computer Vision and Pattern Recognition, Vol. 2, 2005, pp- 60-65.
  2. Lu Lu, Weiqi Jin, Xia Wang,"Non Local Means Image Denoising with a Soft Threshold", IEEE Signal Processing Letters, Vol. 22, No. 7, July 2015, pp-833-837.
  3. Rubeena Vohra, Akash Tayal, "Image Restoration Using Thresholding Techniques on Wavelet Coefficients ", International Journal of Computer Science (IJCSI), Vol. 8, No. 5, No 3, September 2011, pp-400-404.
  4. Archee Naz, Anjan Talukdar, Kandarpa Sarma, "Digital Image Restoration using Discrete Wavelet Transform based Approach ",IRNet Transactions on Electrical and Electronics Engineering (ITEEE) , Vol. 1, No. 2, 2012, pp-53-57.
  5. Arno Duijster, Paul Scheunders, and Steve De Backer," Wavelet-Based EM Algorithm for Multispectral Image Restoration", IEEE transactions on Geoscience and Remote Sensing, Vol. 47, No. 11, November 2009.
  6. Sangjin Kim, Wonseok Kang, Eunsung Lee, Joonki Paik, "Vaguelette-Wavelet Decomposition for Frequency Adaptive Image Restoration Using Directional Wavelet Bases", IEEE Transactions on Consumer Electronics, Vol. 57, No. 1, February 2011, pp-218-223.
  7. Michal Aharon, Michael Elad, and Alfred Buckstein,"K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation", IEEE transactions on Signal Processing, vol. 54, No. 11, November 2006, pp-4311-4322.
  8. Michael Elad and Michal Aharon, "Image Denoising via Sparse and Redundant Representations over Learned Dictionaries", IEEE transactions on Image Processing, Vol. 15, No. 12, December 2006, pp-3736-3745.
  9. Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik, Karen Egiazarian, "Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering", IEEE transactions on Image Processing, Vol. 16, No. 8, August 2007, pp-2080-2095.
  10. Priyam Chatterjee, Peyman Milanfar," Clustering-Based Denoising With Locally Learned Dictionaries", IEEE transactions on Image Processing, Vol. 18, No. 7, July 2009, pp-1438-1451.
  11. Weisheng Dong, Lei Zhang, Guangming Shi, Xin Li," Nonlocally Centralized Sparse Representation for Image Restoration," IEEE transactions on Image Processing, Vol. 22, No. 4, April 2013, pp-1620-1630.
  12. J. Mairal, F. Bach, J. Ponce, G. Sapiro, and A. Zisserman, "Non-local sparse models for image restoration," in 2009 IEEE 12th International Conference on Computer Vision, 2009, pp. 2272-2279.
  13. Weisheng Dong, Xin Li, Lei Zhang, and Guangming Shi, "Sparsity based image denoising via dictionary learning and structure clustering," CVPR, 2011, pp- 457-464.
  14. Lei Zhang, WeishengDong, DavidZhang, GuangmingShi," Two-stage image denoising by principal component analysis with local pixel grouping", Elsevier journal on Pattern Recognition vol. 43, 2010, pp-1531–1549.
  15. Qiang Guo, Caiming Zhang, Yunfeng Zhang, and Hui Liu," An Efficient SVD-Based Method for Image Denoising", IEEE transactions on Circuits and Systems for Video Technology, 2015, pp-1-13.
  16. Z. Wang, A. C. Bovik, H. R. Sheikh, E. P. Simoncelli, Image quality assessment: from error visibility to structural similarity, IEEE Transaction on Image Processing vol. 13, No. 4 , April 2004, pp. 600-611.
  17. M. Vijay, Subha S. , "Spatially adaptive Image Restoration method using LPG-PCA and JBF", IEEE International Conference on Machine Vision and Image Processing (MVIP), Dec. 2012, pp. 53-56.
  18. David S. Watkins. Fundamentals of Matrix Computation. New Jersey, USA, 2010, pp. 259-526.
  19. Ming Zhang and Bahadir K. Gunturk, " Multiresolution bilateral filtering for Image denoising ", IEEE Transaction on Image Processing vol. 17, No. 12 , December 2008, pp. 2324-2333.
  20. H. C. Andrews and B. R. Hunt, Digital Image Restoration. Newyork: Prientice-Hall, 1977.
  21. Rachana Dhannawat, Dr. Archana B. Patankar," Improvement to Blind Image Denoising by Using Local Pixel Grouping with SVD", ICCCV Elsevier Procedia Computer Science, Vol. 79, April 2016, page(s): 314- 320.
  22. Priyanka Kamboj, and Versha Rani," A Brief Study of Various Noise Models and Filtering Techniques", Journal of Global Research in Computer Science, vol. 4, No. 4, April 2013, pp. 166-171.
Index Terms

Computer Science
Information Sciences

Keywords

Image Restoration LPGPCA LPGSVD Joint Bilateral Filter Median filter Image denoising.