Fundamentals of digital image processing
Fundamentals of digital image processing
Digital video processing
Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion Picture Restoration: Digital Algorithms for Artefact Suppression in Degraded Motion Picture Film and Video
Journal of Computational and Applied Mathematics - Special issue: Applied computational inverse problems
Scratch Line Removal on Aged Films
ISM '07 Proceedings of the Ninth IEEE International Symposium on Multimedia
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 generalized model for scratch detection
IEEE Transactions on Image Processing
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
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A scratch detection and restoration is very important, as scratches are the most common form of degradation of old films. The goal of the current study is to develop a fully automated system that can detect all types of scratch with a low computational cost. This is achieved by defining the texture and shape properties from spatial domain, then using these for scratch detection. The proposed method involves two procedures: (1) the input image is divided into scratches and non-scratches using a neural network (NN)-based texture classifier and (2) some false alarms are removed by shape filtering using a morphological filter with new structuring elements defined based on the shape characteristics of scratches. To assess the validity of the proposed method, experiments were performed with several films, and the results showed that its performance was superior to that of other method.