A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Learning How to Inpaint from Global Image Statistics
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Tensor Voting for Image Correction by Global and Local Intensity Alignment
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
Fields of Experts: A Framework for Learning Image Priors
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
Removing camera shake from a single photograph
ACM SIGGRAPH 2006 Papers
Single-Image Vignetting Correction
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Exposing digital forgeries through chromatic aberration
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Natural Image Statistics: A Probabilistic Approach to Early Computational Vision.
Natural Image Statistics: A Probabilistic Approach to Early Computational Vision.
Feature-Based Camera Model Identification Works in Practice
Information Hiding
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
Determining Image Origin and Integrity Using Sensor Noise
IEEE Transactions on Information Forensics and Security
Digital Image Forensics via Intrinsic Fingerprints
IEEE Transactions on Information Forensics and Security
Practical anti-vignetting methods for digital cameras
IEEE Transactions on Consumer Electronics
Differentiation of discrete multidimensional signals
IEEE Transactions on Image Processing
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Vignetting is the phenomenon of reduced brightness in an image at the peripheral region compared to the central region. As patterns of vignetting are characteristics of lens models, they can be used to authenticate digital images for forensic analysis. In this paper, we describe a new method for model based single image vignetting estimation and correction. We use the statistical properties of natural images in the discrete derivative domains and formulate the vignetting estimation problem as a maximum likelihood estimation. We further provide a simple and efficient procedure for better initialization of the numerical optimization. Empirical evaluations of the proposed method using synthesized and real vignetted images show significant gain in both performance and running efficiency in correcting vignetting from digital images, and the estimated vignetting functions are shown to be effective in classifying different lens models.