Paper Info
Title
Infrared image enhancement based on an aligned high resolution visible image
Abstract
Since the visual quality of an infrared (IR) image is usually unsatisfactory due to blurred edges and lack of textures, it is sometimes hard to obtain sufficient information from the IR image. In this paper, we present a novel framework for the IR image enhancement with the help of its aligned high resolution visible image. In the algorithm, we first prepare an aligned pair of IR and visible images through multi-sensor image registration. We then define a weight map based on edge correspondence in order to properly transfer the sharp edge property in the visible image to the IR image while avoiding unwanted blurring and distortion. We enhance the IR edges with high weights by applying visible-image-driven anisotropic diffusion with adaptive diffusion parameters. Finally, we deblur the remaining area to obtain a result that is enhanced uniformly over the whole IR image. Experimental results show that the proposed method can provide quality-improved IR images.
Year
DOI
Venue
2010
10.1109/ICIP.2010.5651482
ICIP
Keywords
Field
DocType
visible-image-driven anisotropic diffusion,ir image,deblurring,infrared image enhancement,image fusion,image resolution,infrared imaging,image restoration,aligned high resolution visible image,blurred edge,adaptive diffusion,edge detection,anisotropic diffusion,sharp edge property,image registration,image texture,image enhancement,multisensor image registration,ir image enhancement,visual quality,quality improvement,kernel,pixel,sensors,infrared,anisotropic magnetoresistance
Anisotropic diffusion,Computer vision,Image fusion,Deblurring,Edge detection,Computer science,Image texture,Artificial intelligence,Image restoration,Image resolution,Image registration
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-7993-1
978-1-4244-7993-1
1
PageRank 
References 
Authors
0.40
4
3
Name
Order
Citations
PageRank
Kyuha Choi1445.32
Changhyun Kim2470151.39
Jong Beom Ra347666.96