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Scratch removal in digitised �film sequences

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... The problem of scratch removal has been addressed in numerous papers. Standard techniques [1], [2] are based on variations of the spatiotemporal mean and median filters restricted to local regions of interest. These methods are straightforwardly implemented and involve only a modest computational load. ...
... The proposed scratch removal method interpolates reliable missing pixels in historical motion picture films. Even for homogenous areas [17] which exhibit a strong influence of noise to the observer, an almost perfect reconstruction is obtained without any blurring effect which was reported repeatedly for other methods [2], [3], [5]. ...
Conference Paper
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In this paper a method for the detection and removal of scratches in digitised film sequences is dis-cussed. The proposed technique highlights the physical structure of the scratch to distinguish between an actual scratch and an image feature. The advantage of the technique is the reliability even in the presence of dominant features parallel to the scratch. The method for the removal of the scratch utilises an iterative interpolation to reconstruct the affected pixels. The convergence of the algorithm is guaran-teed for the noise free case but proved to be stable even in the presence of noise.
... In view of the above problems, research has been done from different aspects. Standard detection techniques [1,2,3] deal with regions of interest based on different space-time averages and median filtering. These low-computational-cost methods work perfectly on still images, but are less effective on sequence images, are prone to blurring, and are more severe due to the fixed position of vertical scratches. ...
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A method of surface scratch detection is proposed in order to realize the automatic detection of surface scratches of molded products. This method uses contourlet transform to decompose the image, extracts the mean and variance of the different sub-bands and different directions for the matrix as the eigenvectors, and uses the distance between the calculation point and the scoring center to identify scratches, to construct a product scratch detection system based on contourlet transform. Experimental results show that compared with traditional methods, the method has higher retrieval accuracy and retrieval speed.
... The problem of scratch detection and removal has been addressed in numerous papers. Standard techniques [1], [2], [3] are based on variations of the spatio-temporal mean and median filters restricted to local regions of interest. These methods are straightforwardly implemented and involve only a modest computational load. ...
Conference Paper
Full-text available
Movie films are often damaged through ageing, chemical changes and contact with mechanical parts of the film projector. In this paper methods for the detection and removal of vertical scratches in digitised film sequences are discussed. This specific type of scratch arises by the contact of the film material running against mechanical part of the camera or film projector. The proposed technique is based on the discrete wavelet decomposition. This transformation splits an image into approximation and detail coefficients, where the latter separate into horizontal, vertical, and diagonal representations. The algorithm reconstructs the missing data in the region of the scratch and finally the synthesis of the wavelet coefficients generates a restored version of the scratched image frame. The results show that the combination of scratch detection and removal in the wavelet domain is superior to other techniques based in the image domain which use single frames. Keywords: scratch detection, scratch removal, wavelet transformation, digitised film sequences 1
Article
Many algorithms have been proposed in literature for digital movie restoration; unfortunately, none of them ensures a perfect result whichever is the image sequence to be restored. Here we propose a new digital scratch restoration algorithm which achieves accuracy results higher than that of already existing algorithms and naturally adapts for implementation into high-performance computing environments.The basic idea of the proposed algorithm is to adopt several relatively well-settled algorithms for the problem at hand and combine obtained results through suitable image fusion techniques, with the aim of taking advantage of the adopted algorithms’ capabilities and, at the same time, limiting their deficiencies.Extensive experiments on real image sequences deeply investigate both accuracy results of the presented scratch restoration approach, which is shown to outperform other existing approaches, and performance of its parallel implementation, which allows for real-time restoration.
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