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An Assessment on Brightness Preservation Techniques over Digital Image Processing

by Vaishali Ahirwar, Himanshu Yadav, Anurag Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 12
Year of Publication: 2013
Authors: Vaishali Ahirwar, Himanshu Yadav, Anurag Jain
10.5120/11630-7102

Vaishali Ahirwar, Himanshu Yadav, Anurag Jain . An Assessment on Brightness Preservation Techniques over Digital Image Processing. International Journal of Computer Applications. 68, 12 ( April 2013), 12-17. DOI=10.5120/11630-7102

@article{ 10.5120/11630-7102,
author = { Vaishali Ahirwar, Himanshu Yadav, Anurag Jain },
title = { An Assessment on Brightness Preservation Techniques over Digital Image Processing },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 12 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 12-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number12/11630-7102/ },
doi = { 10.5120/11630-7102 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:27:38.444400+05:30
%A Vaishali Ahirwar
%A Himanshu Yadav
%A Anurag Jain
%T An Assessment on Brightness Preservation Techniques over Digital Image Processing
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 12
%P 12-17
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital image processing forms core research area with in computer science disciplines. Rapid growth of image processing technologies has been used digital images more and more prominent in our daily life. Brightness preservation is a technique of improving the image brightness so that the limitations contained in these images is used for various applications in a better way. The paper presents a review on using hybrid transformation means used combination of two transformation techniques first, curvelet transformation is used to identify the bright regions of the original image and second, discrete wavelet transformation used for reduce Noise and compressed the image for improve the quality of images and then the histogram equalization method is used to enhance the image brightness. Histogram Equalization technique is one of the most popular methods for image enhancement due to its simplicity and efficiency. This is a review on these methodologies by which it is possible to preserve the brightness more efficiently.

References
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Index Terms

Computer Science
Information Sciences

Keywords

image processing Brightness Preservation Hybrid transformation Histogram Equalization

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