CFP last date
20 December 2024
Reseach Article

Analysis of Digital Image Filters in Frequency Domain

by Md. Shahnawaz Shaikh, Ankita Choudhry, Rakhi Wadhwani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 140 - Number 6
Year of Publication: 2016
Authors: Md. Shahnawaz Shaikh, Ankita Choudhry, Rakhi Wadhwani
10.5120/ijca2016909330

Md. Shahnawaz Shaikh, Ankita Choudhry, Rakhi Wadhwani . Analysis of Digital Image Filters in Frequency Domain. International Journal of Computer Applications. 140, 6 ( April 2016), 12-19. DOI=10.5120/ijca2016909330

@article{ 10.5120/ijca2016909330,
author = { Md. Shahnawaz Shaikh, Ankita Choudhry, Rakhi Wadhwani },
title = { Analysis of Digital Image Filters in Frequency Domain },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 140 },
number = { 6 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 12-19 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume140/number6/24597-2016909330/ },
doi = { 10.5120/ijca2016909330 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:41:49.420754+05:30
%A Md. Shahnawaz Shaikh
%A Ankita Choudhry
%A Rakhi Wadhwani
%T Analysis of Digital Image Filters in Frequency Domain
%J International Journal of Computer Applications
%@ 0975-8887
%V 140
%N 6
%P 12-19
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital image filtering in an important approach towards image enhancement. It involves the manipulation and interpretation of digital images. Images may get noisy due to various factors then filtering of images is become an important operation to de-noise the noisy images. Image Smoothing and image sharpening must be performed to achieve it. In our paper we work on Ideal, Gaussian and Butterworth filters to apply high pass and low pass filtering on images. We implement and simulate these filters on MATLAB platform and analyze their performance for equal cutoff frequency. This work gives great experience to understand differences among various above define filtering techniques through keen analysis of their respective results.

References
  1. Rafael C. Gonzalez, Richard E. Woods, “Digital Image Processing”, Pearson Prentice Hall, Third Edition, ISBN 0-13-168728-x 978-0-13-168728-8.
  2. Sasan John jiu, “Frequency Domain Filter In Digital Image Processing In Remote Sensing: An Overview”, International journal of innovative r research & development, volume2, issue 6 july, 2013, ISSN:2278- 0211
  3. Omeed kamal khorsheed, “Produce low-pass and high- pass image filter in java”, International journal of Advances inengineering &Technology, July, 2014, ISSN:22311963
  4. Snehal O.Mundhada, V.K.Shandilya, “Spatial and Transformation Domain Techniques for Enhancement”, International Journal of engineering Science and Innovative technology, Volume1, Issue2, November2012 ISSN: 2319-5967.
  5. Aziz makandar, Bhagirathi Halali, “Image Enhancement Techniques using Highpass and Lowpass Filters”, International journal of computer application (0975-88875), Volume109 No.14, January2015.
  6. Amit shukla, Dr.R.K.Singh, “Performance analysis of frequency domain filters for noise reduction”, e-Joumal of Science & technology, (5), 9, 2014
  7. Garima Goyal, Ajay Kumar Bansal , Manish Singhal, “Review Paper on Various Filtering Techniques and Future Scope to Apply These on TEM Images” International Journal of Scientific and Research Publications, Volume 3, Issue 1, January 2013, ISSN 2250-3153
  8. Samayita Bhattacharya, Kalyani mali, “Comparative Studyof Different Filters on Images in Frequency Domain ”, International Journal of Advance Research in computer science and software Engineering, Volume4, issue8, August 2014, issue: 2277128x.s
  9. B.D.Venkatramana Reddy & Dr.T.Jayachandra Prasad, “Frequency Domain Filtering of Colour Images using Quaternion Fourier transforms”, IJCST, Vol.1, Issue2, December 2010,ISSN0976-8491.
  10. Jakia Afruz , Va’Juanna Wilson, “Frequency Domain Pseudo-color to Enhance Ultrasound Images”, Canadian center of science and Education, Volume3, No.4, November 2014.
Index Terms

Computer Science
Information Sciences

Keywords

Frequency domain image filtering high pass filter low pass filter Ideal filter Butterworth filter Gaussian filter..