Paper Info
Title
Wide-Band Image Guided Visible-Band Image Enhancement
Abstract
In this paper, we present a new algorithm which enhances an image quality of the visible-band image in low light conditions by using the wide-band (400 similar to 1000 nm) image. In our proposed algorithm, the high signal-to-noise ratio (SNR) capability of the wide-band image is utilized, and the bivariate shrinkage and the multiresolution bilateral filter are incorporated with our joint filtering scheme. Our proposed method employs the cross channel paradigm to further reduce chromatic low frequency noise. Detail transfer is performed by using a mapping function on the wavelet domain. The experimental result with real image will be given in order to illustrate the effectiveness of the proposed algorithm.
Year
DOI
Venue
2011
10.1109/ICIP.2011.6116442
2011 18TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP)
Keywords
Field
DocType
image denoising, image fusion, image enhancement, image resolution
Computer vision,Image fusion,Feature detection (computer vision),Pattern recognition,Computer science,Signal-to-noise ratio,Image quality,Filter (signal processing),Artificial intelligence,Real image,Bilateral filter,Image resolution
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
11
3
Name
Order
Citations
PageRank
Youngjin Yoo11229.07
Wonhee Choe2177.99
SeongDeok Lee32010.99