Development of Signal Processing Algorithms and Systems for Old Film Restration

本研究旨在修复因老化、化学作用和机械变形等原因而损坏的旧电影序列。旧电影序列中的斑点可以通过时间数字信号处理来去除，因为它们在时间上是不连续的。本文提出了一种老电影序列生成和检测的随机模型，并通过数值仿真验证了该模型的有效性.本研究提出了一种快速的闪烁减少方法，使用M-估计的电影序列与人工闪烁，并检查其性能。所提出的方法使用一个参考序列可以执行闪烁减少19倍的速度比几个传统的方法。研究了一种基于图像MRF模型的快速有效的斑点检测方法。所提出的方法的性能进行了检查与人工斑点的电影序列。实验结果表明，该方法比传统的基于MRF模型的斑点检测方法快5倍.研究了一种用于闪烁抑制和斑点检测的参考图像生成方法。实验结果表明，该方法可以产生非常好的参考图像，具有足够低的闪烁和斑点噪声。

This research aims at restoring old film sequences with several damages due to aging, chemical effects and mechanical deformation, etc.1. Blotches in old film sequences can be removed by temporal digital signal processing because they are discontinuous in time. This research proposed a stochastic model for generation and detection in old film sequences and demonstrated its validity and effectiveness by numerical simulation.2. This research proposed a fast flicker reduction method using M-estimation for film sequences with artificial flickers and examined its performance. The proposed method using a reference sequence can execute flicker reduction 19 times faster than several conventional methods.3. This research studied a fast and effective blotch detection method based on MRF model of images. The performance of the proposed method was examined for film sequences with artificial blotches. It was confirmed that the proposed method can detect blotches 5 times faster than the conventional method based on MRF model.4. This research studied a producing method of reference images for flicker reduction and blotch detection. It was confirmed that the producing method proposed can generate very good reference images with sufficiently low flicker and blotch noises.