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Deblurring Images using a Wiener Filter

by Prodip Biswas, Abu Sufian Sarkar, Mohammed Mynuddin
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 7
Year of Publication: 2015
Authors: Prodip Biswas, Abu Sufian Sarkar, Mohammed Mynuddin
10.5120/19203-0846

Prodip Biswas, Abu Sufian Sarkar, Mohammed Mynuddin . Deblurring Images using a Wiener Filter. International Journal of Computer Applications. 109, 7 ( January 2015), 36-38. DOI=10.5120/19203-0846

@article{ 10.5120/19203-0846,
author = { Prodip Biswas, Abu Sufian Sarkar, Mohammed Mynuddin },
title = { Deblurring Images using a Wiener Filter },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 7 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 36-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number7/19203-0846/ },
doi = { 10.5120/19203-0846 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:11.798237+05:30
%A Prodip Biswas
%A Abu Sufian Sarkar
%A Mohammed Mynuddin
%T Deblurring Images using a Wiener Filter
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 7
%P 36-38
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper basically represents how to deblurring images using a wiener filter [1]. Basically wiener filter is used to produce an estimate of a desired or target random process by linear time-invariant filtering [2] of an observed noisy process, assuming known stationary signal and noise spectra, and additive noise. The Wiener filter minimizes the mean square error between the estimated random process and the desired process. In here it has been introduced about the image processing capabilities in MATHLAB. Dividing some steps it has been shown how an image can be processed with the help of MATHLAB [3][4] command. Moreover how image can be effected by noise & how noise can be removed from image this also described in this paper properly

References
  1. http://en. wikipedia. org/wiki/Wiener_filter
  2. Christine GUILLEMOT,Patrick RAULT,Patrice ONNO "Time-invariant and time-varying multirate filter banks: applicaton to image coding",pp192-218
  3. http://www. mathworks. com/help/images/ref/deconvwnr. html
  4. http://www. mathworks. com/help/images/examples/deblurring-images-using-a-wiener-filter. html
  5. www. tnw. tudelft. nl/fileadmin/Faculteit/TNW/. . . /FIP2_3. pdf pp1-112
  6. http://ietjournals. org/archive/2012/august_vol_2_no_8/861281336977459. pdf
  7. Gonzalez R. C. , Woods R. E. (2007): "Digital Image Processing, 3rd edition", Pearson Prentice Hall.
  8. Rafael, C. G. , Richard, E. W. , Steven, L. E. (2003): "Digital Image Processing Using MATLAB", Prentice Hall Publication, New Jersey.
  9. Pratt, W. K. (2007): "Digital Image Processing, 2nd edition", Wiley, New York.
  10. OkeA. O. ,OmidioraE. O. and Fakolujo O. A. (2012): "Development of a Modified Wiener Algorithm in the Restoration of Digital Images", British Journal of Mathematics & Computer Science,NY, In Press.
Index Terms

Computer Science
Information Sciences

Keywords

Wiener filter Motion Blur Image Processing Blurred Image Quantized Image NSR

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