IJTEEE
International Journal of Technology Enhancements and Emerging Engineering Research (ISSN 2347-4289)
PREVIOUS PUBLICATIONS



IJTEEE >> Volume 1 - Issue 4, November 2013 Edition



International Journal of Technology Enhancements and Emerging Engineering Research  
International Journal of Technology Enhancements and Emerging Engineering Research

Website: http://www.ijteee.org

ISSN 2347-4289



A Review On Image Denoising Using Wavelet Transform And Median Filter Over AWGN Channel

[Full Text]

 

AUTHOR(S)

Miss. Pallavi Charde

 

KEYWORDS

Keywords: Image, Noise, Wavelet transform, Median Filter, Phase Shift Key

 

ABSTRACT

Abstract: In the past two decades, many noise reduction techniques have been developed for removing noise and retaining edge details in images. The process of removing noise from the original image is still a demanding problem for researchers. There have been several algorithms and each has its assumptions, merits, and demerits. The prime focus of this paper is related to the pre processing of an image before it can be used in applications. The pre processing is done by de-noising of images. In order to achieve these de-noising algorithms, filtering approach and wavelet based approach are used and performs their comparative study. Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected into the image during transmission. Wavelet transform and median filter are used for the image reconstruction and denoising. In this paper, we propose fast and high-quality nonlinear algorithms for denoising digital images corrupted by mixed Poisson-Gaussian noise.

 

REFERENCES

[1]. Florian Luisier, Thierry Blu and Michael Unser, “Image Denoising in Mixed Poisson-Gaussian Noise”, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 3, pp. 696-708, MARCH 2011.

[2]. Suresh Kumar, Papendra Kumar, Manoj Gupta, Ashok Kumar Nagawat, “Performance Comparison of Median and Wiener Filter in Image De-noising ”International Journal of Computer Applications (0975 – 8887) Volume 12– No.4, November 2010.

[3]. S.Arivazhagan, S.Deivalakshmi, K.Kannan, “ Performance Analysis of Image Denoising System for different levels of Wavelet decomposition”, International Journal Of Imaging Science And Engineering (IJISE) VOL.1, NO.3, pp. 104-107, July 2007.

[4]. Gurmeet Kaur, Rupinder Kaur, “Image De-Noising using Wavelet Transform and various Filters” International Journal of Research in Computer Science eISSN 2249-8265 Volume 2 Issue 2 (2012) pp. 15-21.

[5]. J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli, “Image denoising using scale mixtures of Gaussians in the wavelet domain”, IEEE Trans. Image Process., vol. 12, no. 11, pp. 1338–1351, Nov.2003.

[6]. Ms. Swapna M. Patil, Prof. C. S. Patil, “New Approach For Noise Removal From Digital Image”, International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 2 Issue 1, January- 2013.

[7]. James C. Church, Yixin Chen, and Stephen V. Rice Department of Computer and Information Science, University of Mississippi, “A Spatial Median Filter for Noise Removal in Digital Images”, IEEE, page(s): 618- 623, 2008.