Title
Intensity-Preserving Contrast Enhancement for Gray-Level Images using Multi-objective Particle Swarm Optimization
Abstract
This paper addresses the enhancement of the contrast of gray-level digital images while preserving the mean image intensity, thus, providing better viewing consistency and effectiveness. The contrast enhancement is achieved by maximizing the information content carried in the image with a continuous intensity transform function and the mean image intensity is preserved, by using the gamma-correction approach. Since the contrast enhancement and intensity preservation are contradicting, a multi-objective particle swarm optimization (MPSO) algorithm is developed to resolve this trade-off. Benchmark images, street senses and skyline images are included to illustrate the effectiveness of the proposed approach
Year
DOI
Venue
2006
10.1109/COASE.2006.326849
Shanghai
Keywords
Field
DocType
computer vision,image enhancement,particle swarm optimisation,benchmark images,continuous intensity transform function,digital images,gamma correction,gray-level images,intensity-preserving contrast enhancement,mean image intensity,multi-objective particle swarm optimization,skyline images,street senses
Particle swarm optimization,Skyline,Computer vision,Computer science,Digital image,Gray level,Artificial intelligence,Gamma correction
Conference
ISSN
ISBN
Citations 
2161-8070
1-4244-0311-1
6
PageRank 
References 
Authors
0.55
13
4
Name
Order
Citations
PageRank
Ngai Ming Kwok144133.63
Ha, Q.P.2599.21
D. K. Liu326528.18
Gu Fang416216.95