Video De-Noising Using Fuzzy Technique

Harneet Kaur^1, and Neeru Singla¹

¹Electronics & Communication, R.I.E.I.T Railmajra, SBS Nagar, India

Cite this paper:
Harneet Kaur and Neeru Singla. Video De-Noising Using Fuzzy Technique. American Journal of Electrical and Electronic Engineering. 2013; 1(3):46-51. doi: 10.12691/ajeee-1-3-3

Abstract

The recent advances in representations of video have achieved outstanding de-noising results, but removing real, structured noise in digital videos remains a challenging problem. In video de-noising the goal of proposed algorithm is to achieve an efficient, adaptive and high-quality video de-noising algorithm. In video and television, noise refers to the random dot pattern that is superimposed on the image as a result of electronic noise. Images taken with both digital cameras and conventional cameras will pick up noise from a variety of sources. This paper deals with performance comparison of Median and Wiener Filters in video de-noising for Gaussian noise and Salt & Pepper noise. Several examples were conducted to evaluate the performance of the median filter and wiener filter on Gaussian noise and salt and pepper noise.

Keywords:
frames salt & pepper noise Gaussian noise wiener filter median filter

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References:

[1]	Video Processing Centre for Visual Information Technology: IIIT Hyderabad Publications http://web2py.iiit.ac.in/research_centres/De fault/view_area/216.
[2]	Gonzalez R.C., Digital Image Processing, R.E. Woods, Prentice Hall, 2008.
[3]	http://www.answers.com/topic/image-processing.
[4]	Shankar K Pramod, Jawahar C.V. and Zisserman Andrew "Subtitle-free Movie to Script Alignment" in Proceedings of British Machine Vision Conference (BMVC 09), IIIT Hyderabad Publications,7-10 September, 2009, London, UK.
[5]	Oke Alice, Omidiora Elijah, Fakolujo Olaosebikan, Falohun Adeleye, Olabiyisi “Effect of Modified Wiener Algorithm on Noise Models” International Journal of Engineering and Technology (IJET) – 2(8), August, 2012.
[6]	Maheswari D., “Noise Removal in Compound Image using Median filter” (IJCSE) International Journal on Computer Science and Engineering, 2(4), 1359-1362, Jul.2010.
[7]	Balster, E.j. “Combined Spatial and Temporal Domain Wavelet Shrinkage Algorithm for Video Denoising” circuits and Systems for video Technology IEEE Transaction, 16(2), 220-230, Feb.2006.
[8]	Dabovkostadin, Foi Alessandro and Egiazarian Karen “Video Denoising by Sparse 3D Transform-domain Collaborative Filtering” 15th European Signal Processing conference (EUSIPCO 2007), EURASIP journals,145-147, September 3-7,2007, Poznam, Poland.
[9]	Patidar Pawan, Gupta Manoj, Srivastava Sumit, Kumar Nagawat Ashok “Image De-noising by Various Filters for Different Noise” International Journal of Computer Applications, 9(4), November 2010.