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DWT Curvet based Dynamic Histogram Equalization for Brightness Preserving Contrast Enhancement of Images

by Mukesh Kumar Barode, Rajesh Kumar Rai, Sachin Murarka
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 110 - Number 13
Year of Publication: 2015
Authors: Mukesh Kumar Barode, Rajesh Kumar Rai, Sachin Murarka
10.5120/19380-1086

Mukesh Kumar Barode, Rajesh Kumar Rai, Sachin Murarka . DWT Curvet based Dynamic Histogram Equalization for Brightness Preserving Contrast Enhancement of Images. International Journal of Computer Applications. 110, 13 ( January 2015), 32-36. DOI=10.5120/19380-1086

@article{ 10.5120/19380-1086,
author = { Mukesh Kumar Barode, Rajesh Kumar Rai, Sachin Murarka },
title = { DWT Curvet based Dynamic Histogram Equalization for Brightness Preserving Contrast Enhancement of Images },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 110 },
number = { 13 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume110/number13/19380-1086/ },
doi = { 10.5120/19380-1086 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:46:18.598525+05:30
%A Mukesh Kumar Barode
%A Rajesh Kumar Rai
%A Sachin Murarka
%T DWT Curvet based Dynamic Histogram Equalization for Brightness Preserving Contrast Enhancement of Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 110
%N 13
%P 32-36
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's world of emerging technology where most of remote sensing data has been recorded in digital formats, and almost all image interpretation and analysis involves some elements of digital processing. They may involve processing image of various measures, including coordination and correct, digital and promote to facilitate better visual interpretation, or even automated classification of targets and fully characterized by computer data. To deal with remote sensing images digitally, should be recorded and the data available in digital appropriate containers for storage in a computer disk or tape form. In this paper the image enhancement technique has been proposed for brightness preserving. Here DWT and histogram equalization has used to improve the previous result. It seems to be that the proposed method gives the better result.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Enhancement DCT DWT

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