What Do the Sun and the Sky Tell Us About the Camera?
International Journal of Computer Vision
Fast vignetting correction and color matching for panoramic image stitching
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Estimating vignetting function from a single image for image authentication
Proceedings of the 12th ACM workshop on Multimedia and security
Retrospective illumination correction of greyscale historical aerial photos
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Modeling and synthesis of aperture effects in cameras
Computational Aesthetics'08 Proceedings of the Fourth Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
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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.