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Digital Image Filtering in Transform Domain using MATLAB

by R. Swaminathan, T. Meyyappan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 158 - Number 2
Year of Publication: 2017
Authors: R. Swaminathan, T. Meyyappan
10.5120/ijca2017912749

R. Swaminathan, T. Meyyappan . Digital Image Filtering in Transform Domain using MATLAB. International Journal of Computer Applications. 158, 2 ( Jan 2017), 27-30. DOI=10.5120/ijca2017912749

@article{ 10.5120/ijca2017912749,
author = { R. Swaminathan, T. Meyyappan },
title = { Digital Image Filtering in Transform Domain using MATLAB },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 158 },
number = { 2 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 27-30 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume158/number2/26882-2017912749/ },
doi = { 10.5120/ijca2017912749 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:46.920036+05:30
%A R. Swaminathan
%A T. Meyyappan
%T Digital Image Filtering in Transform Domain using MATLAB
%J International Journal of Computer Applications
%@ 0975-8887
%V 158
%N 2
%P 27-30
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Application of filter on digital images can be made in two ways, which include spatial domain and transform domain known as frequency domain. The spatial domain deals directly with manipulation of data, pixel, present in an image, whereas the transform domain deals with manipulation of image-data in frequency domain. The aim of this paper is to deal with manipulation of data present in an image in frequency domain and identification of performance of frequency domain low-pass filters in terms of removing noise present in the digital image and frequency domain high-pass filter in terms of highlighting the edge of the digital image. And this paper also deals with image-quality measuring tools such as MSE and PSNR for the purpose of identifying a frequency domain low-pass filter which is best at removing salt and pepper noise present in the digital image.

References
  1. Digital Image Processing, S. Sridhar, OXFORD University press.
  2. Digital Image Processing Using MATLAB, Second Edition, Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, McGraw Hill Education(India) Private Limited.
  3. Frequency Domain Filtering of Colour Images using Quaternion Fourier Transforms,B.D.Venkatramana Reddy, Dr.T.Jayachandra Prasad, IJCST Vol. 1, Issue 2, December 2010 , ISSN: 2229-4333(Print) ISSN : 0976- 8491 (Online ).
  4. Image Enhancement Techniques using Highpass and Lowpass Filters, Aziz Makandar, Bhagirathi Halalli, International Journal of Computer Applications (0975 – 8887)Volume 109 – No. 14, January 2015.
  5. Analysis of Digital Image Filters in Frequency Domain,Md. Shahnawaz Shaikh,Ankita Choudhry,Rakhi Wadhwani,International Journal of Computer Applications (0975 – 8887)Volume 140 – No.6, April 2016
  6. Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization, Raymond H. Chan, Chung-Wa Ho, and Mila Nikolova, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 14, NO. 10, OCTOBER 2005.
  7. Practical Digital Image Enhancements using Spatial and Frequency Domains Techniques, Babawuro Usman,Shehu Ayuba, International Research Journal of Computer Science (IRJCS) ISSN: 2393-9842, Issue 5, Volume 2 (May 2015).
  8. Performance Comparison of Median and Wiener Filter in Image De-noising,Suresh Kumar1, Papendra Kumar2, Manoj Gupta3, Ashok Kumar Nagawat4,International Journal of Computer Applications (0975 – 8887) Volume 12– No.4, November 2010.
Index Terms

Computer Science
Information Sciences

Keywords

Spatial domain Frequency domain Transform domain Ideal low-pass filter Ideal high-pass filter Butterworth filter and Gaussian filter.

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