Proceedings of the 27th annual conference on Computer graphics and interactive techniques
ACM SIGGRAPH 2003 Papers
Photo Defect Detection for Image Inpainting
ISM '05 Proceedings of the Seventh IEEE International Symposium on Multimedia
Correlation Based Image Defect Detection
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
String-Like Occluding Region Extraction for Background Restoration
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Video inpainting and implant via diversified temporal continuations
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Image inpainting based on probabilistic structure estimation
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
CrackTree: Automatic crack detection from pavement images
Pattern Recognition Letters
Region filling and object removal by exemplar-based image inpainting
IEEE Transactions on Image Processing
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We are often required to retouch images in order to improve their visual appearance, by removing the visual discontinuities like breaks and damaged regions. Such retouching of images may be achieved by inpainting. Current techniques for image inpainting require the user to manually select the target regions to be inpainted. Very few techniques for automatically detecting the target regions for inpainting are reported in the literature, which are suitable to detect an actual damage or alteration to the given photograph. In this paper, we propose a Singular Value Decomposition (SVD) based novel technique for automatic detection of the damaged regions in the photographed object / scene, for the purpose of digitally restoring them to their entirety using inpainting. Results on an exhaustive set of images suggest that the mask generated using the proposed technique can be suitably used for inpainting purpose to digitally restore the given images.