CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Survey in Existing Non-Local Means Algorithm for Noise Reduction

by Arti Singh, Ram Singar Verma
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 9
Year of Publication: 2017
Authors: Arti Singh, Ram Singar Verma
10.5120/ijca2017913751

Arti Singh, Ram Singar Verma . Survey in Existing Non-Local Means Algorithm for Noise Reduction. International Journal of Computer Applications. 164, 9 ( Apr 2017), 31-34. DOI=10.5120/ijca2017913751

@article{ 10.5120/ijca2017913751,
author = { Arti Singh, Ram Singar Verma },
title = { Survey in Existing Non-Local Means Algorithm for Noise Reduction },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 9 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 31-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number9/27514-2017913751/ },
doi = { 10.5120/ijca2017913751 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:54.072618+05:30
%A Arti Singh
%A Ram Singar Verma
%T Survey in Existing Non-Local Means Algorithm for Noise Reduction
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 9
%P 31-34
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper introduced the concept of noise reduction for recovering the original image. Digital images are a very important role in daily life like satellite television, computer etc. Sometimes digital images are faces problem called noise. For this problem, we study non-local means algorithm. In this algorithm uses a self-similarity concept, called "non-local means algorithm”. Image accommodates noise like Gaussian noise, salt & pepper noise, speckle noise, film grain etc. In this paper, only survey on the existing non-local means algorithm for noise reduction which is taken from many devices like camera or other digital gadgets.

References
  1. Antoni Buades, Jean Michel Morel, “A non-local algorithm for image denoising”, Proc. Int. Conf. Computer Vis. Pattern Recognition, 2005, pp. 60-65
  2. Antoni Buades, B. Coll, and J. Morel. Neighborhood filters and pde’s. Technical Report 2005-04, CMLA, 2005.
  3. T. Tasdizen, “Principal Neighborhood Dictionaries for Non-local Means Image Denoising”, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. XX, NO. X, JANUARY 2009.
  4. Ramanathan Vigneshy, Byung Tae Oh_ and C.-C.Jay Kuo, “Fast Non-Local Means Computation with Probabilistic Early Termination”, IEEE Signal Processing Letters
  5. A A Kervrann, J. Boulanger, P. Coupe, “Bayesian non-local means filter, image redundancy and adaptive dictionaries for noise removal”, International conference on scale space and variational methods in computer vision,2007
  6. R. Lai, Xuan-xuan Dou, “Improved non-local means filtering algorithm for image denoising”, International Congress on Image and Signal Processing (CISP) 2010.
  7. Y. Yue, M. M. Croitoru, A. Bidani, Joseph B. Z wischenberger and John W. Clark, “ Nonlinear multiscale diffusion for speckle suppression and edge enhancement in ultrasound images”, IEEE Transactions on Medical Imaging, vol.25, 2006, pp. 297-311..
  8. Liu YL, Wang J, Chen X etc al. “ A robust and fast non-local means algorithm for image denoising”. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 23(2): 270 {279 Mar. 2008.
  9. J. Portilla, V. Strela, M. Wainwright, & E. Simoncelli, “Image denoising using scale mixtures of Gaussians in the wavelet domain ,” IEEE Transaction on image processing 12(11), pp. 1338–1351,2003..
  10. Huang J, Mumford D. Statistics of natural images and models. ICCV. 1999:541–547.
  11. J. Wang,Y. Guo ,Y. Ying , Yanli Liv , Q. Peng Mahmoudi M, Sapiro G. “Fast NON-LOCAL ALGORITHM FOR IMAGE DENOISING” IEEE Signal Processing Letters. 2005;12(12):839–842.
  12. Dauwe, B. Goossens, H. Luong and W. Philips, “ a Fast Non-Local Image Denoising Algorithm,” SPIE-IS&T Vol. 6812
Index Terms

Computer Science
Information Sciences

Keywords

Gaussian noise speckle noise salt & pepper noise Non-local mean algorithm Noise reduction

Powered by PhDFocusTM