Paper Info
Title
Image contrast enhancement using unsharp masking and histogram equalization.
Abstract
Contrast enhancement and Mean brightness conservation are two important parameters of image enhancement. A high contrast image is good in subjective quality assessment but also high contrast may cause over or under enhancement in the enhanced image. In this paper a new unsharp mask filtering technique with the combination of histogram equalization is used for the general-purpose images which maximizes the entropy of the image as well as controls the over and under enhancement by clipping the histogram of the image. After rigorous experimentation on standard data-set, it is observed that the information present in the image is highest in the proposed method i.e. the entropy value is highest and the mean brightness is also comparable with the other histogram based image enhancement methods. Mean opinion score(MOS) result shows that visual quality of the image is also better than existing methods.
Year
DOI
Venue
2018
10.1007/s11042-018-5894-8
Multimedia Tools Appl.
Keywords
Field
DocType
Unsharp masking, Sharpening, Clipping
Sharpening,Unsharp masking,Computer vision,Histogram,Pattern recognition,Computer science,Filter (signal processing),Mean opinion score,Artificial intelligence,Histogram equalization,Clipping (audio),Brightness
Journal
Volume
Issue
ISSN
77
20
1380-7501
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
Shubhi Kansal111.36
Shikha Purwar201.01
Rajiv K. Tripathi373.95