Paper Info
Title
Multiple layers block overlapped histogram equalization for local content emphasis
Abstract
Although local histogram equalization (LHE) can be used to emphasize local content in an image, several problems are associated with it. First, LHE tends to amplify speckle noise. Second, this method is not able to preserve the shape of the input histogram, which means the lost of information. Previous literatures also do not give any suggestion on selecting a proper window size for LHE. Therefore, an extension to LHE, which we call as multiple layers block overlapped histogram equalization (MLBOHE), has been introduced. This method consists of three stages, which are enhancement stage, noise reduction stage, and merging stage. Experimental results show that MLBOHE is better than some well-known histogram equalization based local enhancement methods.
Year
DOI
Venue
2011
10.1016/j.compeleceng.2010.12.001
Computers & Electrical Engineering
Keywords
Field
DocType
local content,speckle noise,well-known histogram equalization,enhancement stage,local enhancement method,histogram equalization,multiple layer,input histogram,local histogram equalization,noise reduction stage,local content emphasis,noise reduction
Histogram,Computer science,Real-time computing,Artificial intelligence,Balanced histogram thresholding,Speckle noise,Image histogram,Computer vision,Pattern recognition,Histogram matching,Adaptive histogram equalization,Histogram equalization,Color normalization
Journal
Volume
Issue
ISSN
37
5
Computers and Electrical Engineering
Citations 
PageRank 
References 
4
0.48
16
Authors
2
Name
Order
Citations
PageRank
Nicholas Sia Pik Kong1572.53
Haidi Ibrahim21158.83