DocumentCode :
2082032
Title :
Single-Image Vignetting Correction
Author :
Zheng, Yuanjie ; Lin, Stephen ; Kang, Sing Bing
Author_Institution :
Shanghai Jiaotong University
Volume :
1
fYear :
2006
fDate :
17-22 June 2006
Firstpage :
461
Lastpage :
468
Abstract :
In this paper, we propose a method for determining the vignetting function given only a single image. Our method is designed to handle both textured and untextured regions in order to maximize the use of available information. To extract vignetting information from an image, we present adaptations of segmentation techniques that locate image regions with reliable data for vignetting estimation. Within each image region, our method capitalizes on frequency characteristics and physical properties of vignetting to distinguish it from other sources of intensity variation. The vignetting data acquired from regions are weighted according to a presented reliability measure to promote robustness in estimation. Comprehensive experiments demonstrate the effectiveness of this technique on a broad range of images.
Keywords :
Attenuation; Brightness; Cameras; Geometrical optics; Image segmentation; Layout; Lenses; Optical attenuators; Optical distortion; Optical variables control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2597-0
Type :
conf
DOI :
10.1109/CVPR.2006.282
Filename :
1640793
Link To Document :
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