The histogram Equalization is simple Brightness improvement technique. Simplification is the key factor of the Histogram Equalization. This paper represent the how brightness will improve using the function which are given in the paper. The paper proposes the function which is Probability density function and Cumulative distributive function these function can help to show the grey level image and Brightness Improvement in output image.
%0 Journal Article
%1 Hajare_2015
%A Hajare, Miss. Priyanka
%A Rahane, Akshay .P
%A Sangekar, Vikrant V.
%D 2015
%I Auricle Technologies, Pvt., Ltd.
%J International Journal on Recent and Innovation Trends in Computing and Communication
%K Algorithm Enhancement Image Normalization analysis and
%N 4
%P 2060--2064
%R 10.17762/ijritcc2321-8169.150464
%T Image Analysis Brightness Improvement and Enhancement of Image using Histogram Equalization Technique
%U http://dx.doi.org/10.17762/ijritcc2321-8169.150464
%V 3
%X The histogram Equalization is simple Brightness improvement technique. Simplification is the key factor of the Histogram Equalization. This paper represent the how brightness will improve using the function which are given in the paper. The paper proposes the function which is Probability density function and Cumulative distributive function these function can help to show the grey level image and Brightness Improvement in output image.
@article{Hajare_2015,
abstract = {The histogram Equalization is simple Brightness improvement technique. Simplification is the key factor of the Histogram Equalization. This paper represent the how brightness will improve using the function which are given in the paper. The paper proposes the function which is Probability density function and Cumulative distributive function these function can help to show the grey level image and Brightness Improvement in output image.},
added-at = {2015-08-21T08:11:26.000+0200},
author = {Hajare, Miss. Priyanka and Rahane, Akshay .P and Sangekar, Vikrant V.},
biburl = {https://www.bibsonomy.org/bibtex/2294f97ee54a74d5ffa4e151c05c76ca7/ijritcc},
doi = {10.17762/ijritcc2321-8169.150464},
interhash = {fe1c6828425273a2a008b330831b62d2},
intrahash = {294f97ee54a74d5ffa4e151c05c76ca7},
journal = {International Journal on Recent and Innovation Trends in Computing and Communication},
keywords = {Algorithm Enhancement Image Normalization analysis and},
month = {april},
number = 4,
pages = {2060--2064},
publisher = {Auricle Technologies, Pvt., Ltd.},
timestamp = {2015-08-21T08:11:26.000+0200},
title = {Image Analysis Brightness Improvement and Enhancement of Image using Histogram Equalization Technique},
url = {http://dx.doi.org/10.17762/ijritcc2321-8169.150464},
volume = 3,
year = 2015
}