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Analysis the Impact of Filters in Spatial Domain on Grayscale Image

by Prince Jain, Gurpreet Kaur
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 36 - Number 7
Year of Publication: 2011
Authors: Prince Jain, Gurpreet Kaur
10.5120/4506-6372

Prince Jain, Gurpreet Kaur . Analysis the Impact of Filters in Spatial Domain on Grayscale Image. International Journal of Computer Applications. 36, 7 ( December 2011), 47-51. DOI=10.5120/4506-6372

@article{ 10.5120/4506-6372,
author = { Prince Jain, Gurpreet Kaur },
title = { Analysis the Impact of Filters in Spatial Domain on Grayscale Image },
journal = { International Journal of Computer Applications },
issue_date = { December 2011 },
volume = { 36 },
number = { 7 },
month = { December },
year = { 2011 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume36/number7/4506-6372/ },
doi = { 10.5120/4506-6372 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:22:34.837591+05:30
%A Prince Jain
%A Gurpreet Kaur
%T Analysis the Impact of Filters in Spatial Domain on Grayscale Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 36
%N 7
%P 47-51
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Computer graphics is the branch of computer science which deals with the study of graphics and images. Advancement in the technology brings the development in the image processing techniques, which deals with the image acquisition, image enhancement, restoration etc. Different type of noise got added up to the image while image acquisition leading to the final corrupted image. The main objective of this paper is to remove noise from the gray scale images to better understand the contents of the original image by applying various filter algorithms to get the blurred free and noise free image. For this an algorithm is developed and presented in shape of flowchart. This paper compares the different filters used for the noise removal from an image. It studies various filters for noise removal and finds the opinion that which is best for every type of image. As every image processing algorithms works differently for different image, there are different methods to deal with different types of noise.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Enhancement PSNR Spatial Domain Image Acquisition

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