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Journal ArticleDOI

Blotch detection and removal for archive film restoration

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TLDR
A two-stage Simplified Ranked Order Difference detector that takes local motion changes into consideration has been proposed to increase blotch detection performance and a novel pixel-based correction method that determines the new values of blotched pixels from spatio-temporal correlation considering edge information is developed.
Abstract
Blotch detection and removal is an important issue for archive film restoration. In this work, a two-stage Simplified Ranked Order Difference (SROD) detector that takes local motion changes into consideration has been proposed to increase blotch detection performance. Furthermore a novel pixel-based correction method that determines the new values of blotched pixels from spatio-temporal correlation considering edge information is developed. Experimental results show that the proposed approaches give successful detection and correction performances and outperform previously proposed techniques.

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Citations
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Journal ArticleDOI

Film line scratch detection using texture and shape information

TL;DR: 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 by defining the texture and shape properties from spatial domain, then using these for scratch detection.
Proceedings ArticleDOI

A blotch detection method for archive video restoration using a neural network

TL;DR: A new three-stage method for detecting and restoring blotches on a video sequence has been developed and is shown to have higher efficiency than commonly used ROD, SROD and SDI methods.
Journal ArticleDOI

Automated co-registration of satellite images through luminance transformation

TL;DR: In this article, a novel intensity-based image co-registration method called luminance transformed differences (LTD) is proposed, which is implemented in a block-based fashion in order to achieve a nonrigid transformation at a sub-pixel accuracy level.
Proceedings ArticleDOI

Total variation based fast video decomposition for artifact restoration

TL;DR: This work proposes a novel total variation based decomposition method which is an order of magnitude faster than the existing methods and completely parallelizable and a novel method for reconstructing old color films affected with partial color artifact (PCA) and blotches using the decomposition technique.
Journal ArticleDOI

Automatic movie restoration based on wave atom transform and nonparametric model

TL;DR: An effective automatic movie restoration system based on wave atom transform and nonparametric model that achieves excellent performances even for seriously damaged movies but also has low computational complexity compared with the existing methods.
References
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Proceedings ArticleDOI

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Journal ArticleDOI

Interpolation of missing data in image sequences

TL;DR: A number of model based interpolation schemes tailored to the problem of interpolating missing regions in image sequences, and comparisons with earlier work using multilevel median filters demonstrate the higher reconstruction fidelity of the new interpolators.
Journal ArticleDOI

Detection of missing data in image sequences

TL;DR: Heuristic and model-based methods for the detection of these missing data regions are presented in this paper, and their action on simulated and real sequences is compared.
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