Paper Info
Title
A Novel Image Enhancement Algorithm for a Small Target Detection of Panoramic Infrared Imagery*
Abstract
A novel image enhancement algorithm that can efficiently detect a small target of panoramic infrared (IR) imagery is proposed. Image enhancement is the first step for detecting and recognizing a small target in the IR imagery. The essence of the proposed algorithm is to utilize the independent histogram equalization (HE) separately over two sub-images obtained by decomposing the given image through the statistical hypothesis testing (SHT). Experimental results show that the proposed algorithm has better discrimination and lower false alarm rate than the conventional algorithms.
Year
DOI
Venue
2005
10.1093/ietfec/e88-a.6.1520
IEICE Transactions
Keywords
Field
DocType
small target,better discrimination,infrared imagery,novel image,proposed algorithm,lower false alarm rate,conventional algorithm,small target detection,independent histogram equalization,ir imagery,enhancement algorithm,novel image enhancement algorithm,image enhancement,infrared
Computer vision,Infrared imagery,Algorithm,Artificial intelligence,Constant false alarm rate,Histogram equalization,Mathematics,Statistical hypothesis testing
Journal
Volume
Issue
ISSN
E88-A
6
0916-8508
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Ju-Young Kim1818.99
Ki-Hong Kim26114.23
Hee-Chul Hwang300.34
Duk-Gyoo Kim432.09