Open Access   Article Go Back

Study of Various Image Noises and Their Behavior

Sumit Kushwaha1 , Rabindra Kumar Singh2

Section:Research Paper, Product Type: Journal Paper
Volume-3 , Issue-3 , Page no. 13-17, Mar-2015

Online published on Mar 31, 2015

Copyright © Sumit Kushwaha , Rabindra Kumar Singh . 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.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Sumit Kushwaha , Rabindra Kumar Singh, “Study of Various Image Noises and Their Behavior,” International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp.13-17, 2015.

MLA Style Citation: Sumit Kushwaha , Rabindra Kumar Singh "Study of Various Image Noises and Their Behavior." International Journal of Computer Sciences and Engineering 3.3 (2015): 13-17.

APA Style Citation: Sumit Kushwaha , Rabindra Kumar Singh, (2015). Study of Various Image Noises and Their Behavior. International Journal of Computer Sciences and Engineering, 3(3), 13-17.

BibTex Style Citation:
@article{Kushwaha_2015,
author = {Sumit Kushwaha , Rabindra Kumar Singh},
title = {Study of Various Image Noises and Their Behavior},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2015},
volume = {3},
Issue = {3},
month = {3},
year = {2015},
issn = {2347-2693},
pages = {13-17},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=412},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=412
TI - Study of Various Image Noises and Their Behavior
T2 - International Journal of Computer Sciences and Engineering
AU - Sumit Kushwaha , Rabindra Kumar Singh
PY - 2015
DA - 2015/03/31
PB - IJCSE, Indore, INDIA
SP - 13-17
IS - 3
VL - 3
SN - 2347-2693
ER -

VIEWS PDF XML
2795 2538 downloads 2553 downloads
  
  
           

Abstract

Noises in image is a random variation of color and brightness information produced by the sensor and circuitary of a scanner, or digital camera, or transmission of images. Noise can degrade the visual quality of the image. Due to this, we lost so many information from the image. Image Denoising means to restore the noisy image in original form and extract the maximum information as much as possible. In this paper, we studied the various types of noises in the image, how its behavior, with some parameters, with the help of PDF functions using MATLAB.

Key-Words / Index Term

Speckle Noise, Gaussian Noise, Uniform Noise, Exponential Noise, Gamma Noise, Rayleigh Noise, Impulsive Noise

References

[1] Rohitt Verma, and Jahid Ali, “A comparative study of various types of image noise and efficient noise removal Techniques”, International journal of advanced research in computer science and software engineering, volume 3, issue 10, October 2013, ISSN: 2277128X.
[2] Priyanka Kamboj and Versha Rani, “A brief study of various noise model and filtering techniques”, Journal of global research in computer science, Volume 4, Number 4, April 2013, ISSN: 2229371X.
[3] Divya Sharma, “A comparative analysis of thresholding techniques used in image Denoising through wavelets”, Thesis, Electrical and Instrumentation Engineering Department, Thapar University, Patiala, June 2008.
[4] http://en.wikipedia.org/wiki/Gaussian_noise
[5] Alan C. Bovik, “Handbook of image and video processing”, Academic press, ISBN 0-12-119792-1, 2005.
[6] Mr. Amit Agrawal and Ramesh Raskar, “Optimal single image capture for motion deblurring”, In Proc. IEEE Conference on Computer Vision and Pattern Recognition, pages 2560{2567, 2009.
[7] Mr. Pawan Patidar and et al. , “Image De-noising by Various Filters for Different Noise”, International Journal of Computer Applications (0975 – 8887) Volume 9– No.4, November 2010.
[8] MATLAB R2013a, Image Processing Toolbox, Import, Export and conversion, Synthetic images.
[9] Charles Boncelet, “Image Noise Models”. In Alan C. Bovik. Handbook of Image and Video Processing. Academic Press. ISBN 0-12-119792-1.
[10] http://www.mif.vu.It/atpazinimas/dip/FIP/fip-Quantiza.html
[11] Thomas S. Huang, “ Advances in Computer Vision and Image Processing”, . JAI Press. ISBN 0-89232-460-0, 1986.
[12] Joseph G. Pellegrino et al., “Infrared Camera Characterization”. In Joseph D. Bronzino. Biomedical Engineering Fundamentals. CRC Press. ISBN 0-8493-2122-0, 2006.
[13] http://en.wikipedia.org/wiki/Image_noise
[14] http://en.m.wikipedia.org/wiki/Laplace_distribution