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Clustering Approach for Colour Image Enhancement using Stationary Wavelet Transformation

by K. Baranitharan, S. Srinivasa Rao Madane
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 118 - Number 25
Year of Publication: 2015
Authors: K. Baranitharan, S. Srinivasa Rao Madane
10.5120/20960-3495

K. Baranitharan, S. Srinivasa Rao Madane . Clustering Approach for Colour Image Enhancement using Stationary Wavelet Transformation. International Journal of Computer Applications. 118, 25 ( May 2015), 5-8. DOI=10.5120/20960-3495

@article{ 10.5120/20960-3495,
author = { K. Baranitharan, S. Srinivasa Rao Madane },
title = { Clustering Approach for Colour Image Enhancement using Stationary Wavelet Transformation },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 118 },
number = { 25 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 5-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume118/number25/20960-3495/ },
doi = { 10.5120/20960-3495 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:02:41.309785+05:30
%A K. Baranitharan
%A S. Srinivasa Rao Madane
%T Clustering Approach for Colour Image Enhancement using Stationary Wavelet Transformation
%J International Journal of Computer Applications
%@ 0975-8887
%V 118
%N 25
%P 5-8
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image enhancement is a technique that enhances the perceptual quality of the images and restraining other information on it. The images with enhanced perceptual quality are needed in various areas of application such as remote sensing, medical and aerial image analysis. In this study a robust colour image enhancement technique is proposed by exploiting Stationary Wavelet Transform (SWT), HSV (Hue, Saturation and Value) colour model, k-means clustering, hill climbing and Histogram Equalization (HE) techniques. A visible improvement in the image quality for human contrast perception is achieved by this proposed approach and the objective assessment also provides satisfactory results.

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Index Terms

Computer Science
Information Sciences

Keywords

Stationary Wavelet Transformation Hill climbing algorithm Clustering approach HSV colour model.

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