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Research on Contrast Enhancement and Blotch Detection & Removal Algorithms in Archived Film Restoration

Author: ZhouZhiYuan
Tutor: ZhangWenJun
School: Shanghai Jiaotong University
Course: Communication and Information System
Keywords: Film restoration Contrast Enhancement Plaque detection Plaque repair
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 12
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Abstract

Old movies as an important way of chronicling the history and culture of communication, still has high artistic value. However, due the movie film prone to aging and pollution, coupled with the presence of unscientific cinefilm of playback and save method, which makes a lot of old movies, there are multiple damage such as decreased contrast, plaques, scratches, flicker, which to some extent, affect the viewing of the movie. In this paper, the problem of movie film contrast decline and plaque damage research and analysis, summarized the existing classical algorithm based on the proposed new contrast enhancement algorithm plaque detection repair algorithm effectively improve the contrast enhancement and plaque detection repair effect. The main results of this paper: the first, a sample image contrast enhancement algorithms. In order to establish the contact between the sample image and the target image contrast, as defined herein learning parameter used to measure image contrast histogram, thereby learning parameters can be based on the histogram of the image of a sample histogram of the target image enhancement. In the film restoration with the present algorithm, can be selected with the target frame image scene is similar and has a good contrast of adjacent frames as the sample image, this can ensure that the contrast of consecutive frames having the consistency. Sample image good visual effects and target image scene similar premise, the algorithm can be extended to apply to a the ordinary single frame image contrast enhancement. Second, used to of contrast enhancement OCTM algorithm based on the image contrast, re-defined, the amendment of the objective function of the contrast enhancement, and add the constraint conditions to guarantee the optimal solution in the feasible region, thereby improving the reasonable OCTM model objective function is not enough, insufficient constraints defects. The improved optimization problem can still be used to solve linear programming method. Compared with the original algorithm, the proposed improved algorithm (IOCTM) on the problem definition more explicit, more scientific and rational optimization model, experimental results show that the effect of contrast enhancement enhance. Third, the traditional plaque detection algorithm exist the problem of high false alarm rate and missing rate, large amount of computation algorithm usually present plaques repair patch edge repair ineffective. In order to solve the above problems, this paper presents a recovery algorithm based on non-local means thinking plaque detection. In plaque detection module draws on non-local means algorithm thinking, on the basis of the traditional SROD algorithm to improve the utilization rate of the current frame and the adjacent frame pixel information and the use of morphological filtering plaque mask processing, which effectively reduces the undetected rate and false detection rate, thereby increasing the accuracy of the plaque detection; module repair plaque, plaque the mask position of pixels to repair the use of non-local-means algorithm, the experimental results show that the repair effect Preferably, especially repair of the plaque at the edge of quality has been improved.

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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