Paper Info
Title
A High Performance Exact Histogram Specification Algorithm
Abstract
Real-time histogram specification methods aims to find a continuous function that transforms a source image to match a target distribution with the highest possible degree of accuracy. Many approaches privilege exact specifi- cation exploiting multi-valued ordering functions but incur in highly computational expensive implementations. Histogram specification algorithms can be classified according to computational complexity, image distortion and accuracy of reproduction of the target histogram. The method we propose permits an exact match of a given target histogram independently of the source image meanwhile introducing negligible image distortion. The simplicity of the method enables fast computation making the algorithm suitable for real time applications. Exhaustive experiments and accurate comparisons are carried out against the most representative approaches reported in literature.
Year
DOI
Venue
2007
10.1109/ICIAP.2007.8
ICIAP
Keywords
Field
DocType
image distortion,approaches privilege exact specifi,target distribution,real-time histogram specification method,computational expensive implementation,exact match,negligible image distortion,high performance,exact histogram specification algorithm,source image,histogram specification algorithm,target histogram,computational complexity,real time
Histogram,Computer science,Artificial intelligence,Balanced histogram thresholding,Image histogram,Distortion,Computation,Computer vision,Pattern recognition,Histogram matching,Algorithm,Adaptive histogram equalization,Computational complexity theory
Conference
ISBN
Citations 
PageRank 
0-7695-2877-5
4
0.48
References 
Authors
5
2
Name
Order
Citations
PageRank
Alessandro Bevilacqua120026.45
Pietro Azzari2986.37