Restoring Images Degraded by Spatially Variant Blur
SIAM Journal on Scientific Computing
Can We Calibrate a Camera Using an Image of a Flat, Textureless Lambertian Surface?
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Photometric Calibration of Zoom Lens Systems
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Addressing Radiometric Nonidealities: A Unified Framework
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Vignette and Exposure Calibration and Compensation
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Single-Image Vignetting Correction
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Image and depth from a conventional camera with a coded aperture
ACM SIGGRAPH 2007 papers
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Practical anti-vignetting methods for digital cameras
IEEE Transactions on Consumer Electronics
POCS-based restoration of space-varying blurred images
IEEE Transactions on Image Processing
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In this paper we describe the capture, analysis, and synthesis of optical vignetting in conventional cameras. We analyze the spatially-varying point spread function (PSF) to accurately model the vignetting for any given focus or aperture setting. In contrast to existing "flat-field" calibration procedures, we propose a simple calibration pattern consisting of a two-dimensional array of point light sources - allowing simultaneous estimation of vignetting correction tables and spatially-varying blur kernels. We demonstrate the accuracy of our model by deblurring images with focus and aperture settings not sampled during calibration. We also introduce the Bokeh Brush: a novel, post-capture method for full-resolution control of the shape of out-of-focus points. This effect is achieved by collecting a small set of images with varying basis aperture shapes. We demonstrate the effectiveness of this approach for a variety of scenes and aperture sets.