DocumentCode
117662
Title
Segmentation based extended piecewise maximum entropy histogram for image enhancement
Author
Garg, Nidhi ; Srivastava, Gaurav ; Sengar, Prateek Singh
Author_Institution
Div. of Electron. & Commun., Univ. of Delhi, New Delhi, India
fYear
2014
fDate
20-21 Feb. 2014
Firstpage
168
Lastpage
173
Abstract
Histogram Equalization is an important tool to process the digital images for the purpose of image enhancement and normalization. But in some cases, it may cause bad results. Recently, a Piecewise Maximum Entropy Histogram technique was proposed, yet still with some limitations since it possesses less dynamic range problem. In this paper we present an Extended PME technique which reflects better result than the conventional one and yields more dynamic range so that better contrast enhancement of an image is achieved. Experimental results and comparison between a number of techniques on the basis of Absolute mean brightness error (AMBE), PSNR, Entropy and Standard Deviation values is presented.
Keywords
entropy; image enhancement; image segmentation; piecewise constant techniques; AMBE; PSNR; absolute mean brightness error; contrast enhancement; digital images; dynamic range problem; extended PME technique; histogram equalization; image enhancement; normalization; piecewise maximum entropy histogram technique; segmentation based extended piecewise maximum entropy histogram; standard deviation values; Brightness; Dynamic range; Entropy; Histograms; Probability density function; Signal processing; Standards; Contrast enhancement; Maximum Entropy; Performance Comparison; Piecewise Maximum Entropy (PME);
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Integrated Networks (SPIN), 2014 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-2865-1
Type
conf
DOI
10.1109/SPIN.2014.6776942
Filename
6776942
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