Line scratches detection and restoration via light diffraction

This paper presents a unified model for the detection and removal of line scratches. It is based on modelling the scratch effect by allowing for the diffraction of light. The paper gives some evidence as to why light diffraction can give rise to scratches. The physical modelling of the defect along with its classification as region of partially missing data allows very good results both in detection and in restoration.

[1]  Vittoria Bruni,et al.  Scratch detection via underdamped harmonic motion , 2002, Object recognition supported by user interaction for service robots.

[2]  Peter Schallauer,et al.  Automatic Restoration Algorithms for 35 mm Film , 1999 .

[3]  Bernard Besserer,et al.  Film line scratch removal using Kalman filtering and Bayesian restoration , 2000, Proceedings Fifth IEEE Workshop on Applications of Computer Vision.

[4]  Jianhong Shen,et al.  Digital inpainting based on the Mumford–Shah–Euler image model , 2002, European Journal of Applied Mathematics.

[5]  Lucia Maddalena.  Efficient methods for scratch removal in image sequences , 2001, Proceedings 11th International Conference on Image Analysis and Processing.

[6]  O. Kao,et al.  Removal of Vertical Scratches in Digitised Historical Film Sequences Using Wavelet Decomposition , 2000 .

[7]  Vittoria Bruni,et al.  Line Scratch Detection on Digital Images: An Energy Based Model , 2002, International Conference in Central Europe on Computer Graphics and Visualization.