Automatic blemish detection for image restoration of virtual heritage environments
SSIP'06 Proceedings of the 6th WSEAS International Conference on Signal, Speech and Image Processing
Restoration of blue scratches in digital image sequences
Image and Vision Computing
Color Scratches Removal Using Human Perception
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Film line scratch detection using texture and shape information
Pattern Recognition Letters
Automatic detection and restoration of frame pixel-shift in videos
Multimedia Tools and Applications
Efficient optimization of inpainting scheme and line scratch detection for old film restoration
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
Scratch detection supported by coherency analysis of motion vector fields
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Multidirectional scratch detection and restoration in digitized old images
Journal on Image and Video Processing - Special issue on emerging methods for color image and video quality enhancement
Human visual system for complexity reduction of image and video restoration
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Film line scratch detection using neural network
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
A surface errors locator system for ancient culture preservation
ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities
Genetic algorithm-based reconstruction of old films corrupted by scratches and blotches
Pattern Recognition Letters
Adaptive line scratch detection in degraded films
Proceedings of the 9th European Conference on Visual Media Production
A new approach of image inpainting in the wireless environment
International Journal of Ad Hoc and Ubiquitous Computing
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This paper presents a generalization of Kokaram's model for scratch lines detection on digital film materials. It is based on the assumption that scratch is not purely additive on a given image but shows also a destroying effect. This result allows us to design a more efficacious scratch detector which performs on a hierarchical representation of a degraded image, i.e., on its cross section local extrema. Thanks to Weber's law, the proposed detector even works well on slight scratches resulting completely automatic, except for the scratch color (black or white). The experimental results show that the proposed detector works better in terms of good detection and false alarms rejection with a lower computing time.