NDLI: A novel particle swarm optimization for image fusion

Content Provider	IEEE Xplore Digital Library
Author	Zhang Jiajun
Copyright Year	2010
Description	Author affiliation: Mathematics and Information Science Department, ZaoZhuang University, China (Zhang Jiajun)
Abstract	Spatial resolutions of IKONOS high-resolution panchromatic (PAN) and low-resolution multispectral (MS) satellite images are 1 m and 4 m, respectively. Image fusion method based on particle swarm optimization is developed for color distortion and blocking artifacts in fused images. A novel particle spatially registered multi-focus images. In order to get the optimal image, the size of block is defined as particle. Two evaluation criteria such as information entropy and cross entropy are used on the analysis and effect evaluation of different fused images. The performance of this method is better than the performance of the existed fusion method. It can eliminate the blocking artifacts of the fusion image and save the time of fusion. The experiment results show that the method is an effective method.
Starting Page	126
Ending Page	129
File Size	251030
Page Count	4
File Format	PDF
ISBN	9781424451920
ISSN	19483422
DOI	10.1109/CAR.2010.5456644
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Robot control Mathematics Particle swarm optimization Robotics and automation Color Distortion Satellites Asia Image Fusion Automatic control Informatics Image fusion Blocking Artifacts Particle Swarm Optimization
Content Type	Text
Resource Type	Article

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