Research Article
Histogram Equilization on Wavelet based Compression Techniques
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 98 - Issue 14 |
| Published: July 2014 |
| Authors: Sandeep Dalal, Poonam Rani |
10.5120/17248-7593
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Sandeep Dalal, Poonam Rani . Histogram Equilization on Wavelet based Compression Techniques. International Journal of Computer Applications. 98, 14 (July 2014), 1-5. DOI=10.5120/17248-7593
@article{ 10.5120/17248-7593,
author = { Sandeep Dalal,Poonam Rani },
title = { Histogram Equilization on Wavelet based Compression Techniques },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 98 },
number = { 14 },
pages = { 1-5 },
doi = { 10.5120/17248-7593 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Sandeep Dalal
%A Poonam Rani
%T Histogram Equilization on Wavelet based Compression Techniques%T
%J International Journal of Computer Applications
%V 98
%N 14
%P 1-5
%R 10.5120/17248-7593
%I Foundation of Computer Science (FCS), NY, USA
Abstract
This paper analyzes the effect of histogram equalization on the wavelet based compression techniques. Image compression is reducing the size of an image using one of the encoding techniques. Encoding helps in saving disk space by representing the same data in lesser number of bytes. Histogram is a graphical representation of intensity distribution of an image. It expresses the number of pixel values for each intensity value of an image. Histogram Equalization is a method used to improve the contrast of an image to stretch out the full range of an intensity . Comparison among algorithms has been made with respect to PSNR (Peak signal to noise ratio), MSE (Mean square error), MAE (Mean Absolute Error), L2RAT, Compression ratio.
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