Study of Various Image Noises and Their Behavior
Keywords:
Speckle Noise, Gaussian Noise, Uniform Noise, Exponential Noise, Gamma Noise, Rayleigh Noise, Impulsive NoiseAbstract
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.
References
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.
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.
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.
http://en.wikipedia.org/wiki/Gaussian_noise
Alan C. Bovik, “Handbook of image and video processing”, Academic press, ISBN 0-12-119792-1, 2005.
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.
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.
MATLAB R2013a, Image Processing Toolbox, Import, Export and conversion, Synthetic images.
Charles Boncelet, “Image Noise Models”. In Alan C. Bovik. Handbook of Image and Video Processing. Academic Press. ISBN 0-12-119792-1.
http://www.mif.vu.It/atpazinimas/dip/FIP/fip-Quantiza.html
Thomas S. Huang, “ Advances in Computer Vision and Image Processing”, . JAI Press. ISBN 0-89232-460-0, 1986.
Joseph G. Pellegrino et al., “Infrared Camera Characterization”. In Joseph D. Bronzino. Biomedical Engineering Fundamentals. CRC Press. ISBN 0-8493-2122-0, 2006.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
