DocumentCode :
3016995
Title :
Automatic Removal of Chromatic Aberration from a Single Image
Author :
Kang, Sing Bing
Author_Institution :
Microsoft Res., Redmond
fYear :
2007
fDate :
17-22 June 2007
Firstpage :
1
Lastpage :
8
Abstract :
Many high resolution images exhibit chromatic aberration (CA), where the color channels appear shifted. Unfortunately, merely compensating for these shifts is sometimes inadequate, because the intensities are modified by other effects such as spatially-varying defocus and (surprisingly) in-camera sharpening. In this paper, we start from the basic principles of image formation to characterize CA, and show how its effects can be substantially reduced. We also show results of CA correction on a number of high-resolution images taken with different cameras.
Keywords :
image colour analysis; image reconstruction; camera sharpening; chromatic aberration automatic removal; high resolution images; image color channels; single image; spatially-varying defocus; Adaptive optics; Application software; Cameras; Focusing; Image resolution; Lenses; Optical distortion; Optical interferometry; Optical sensors; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
Conference_Location :
Minneapolis, MN
ISSN :
1063-6919
Print_ISBN :
1-4244-1179-3
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2007.383214
Filename :
4270239
Link To Document :
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