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Analysis of Digital Image Filters in Frequency Domain

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Md. Shahnawaz Shaikh, Ankita Choudhry, Rakhi Wadhwani

Md. Shahnawaz Shaikh, Ankita Choudhry and Rakhi Wadhwani. Article: Analysis of Digital Image Filters in Frequency Domain. International Journal of Computer Applications 140(6):12-19, April 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

	author = {Md. Shahnawaz Shaikh and Ankita Choudhry and Rakhi Wadhwani},
	title = {Article: Analysis of Digital Image Filters in Frequency Domain},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {140},
	number = {6},
	pages = {12-19},
	month = {April},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}


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.


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