Novel Post-Processing Methods Used in Detection of Blotches in Image Sequences

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Blotches are the common artifacts in degraded motion picture sequences. They are usually caused by placing dust and dirt on film surfaces as well as abrasion of film materials. Blotches are seen as dark and bright flashes spreading through the frames, randomly. The spike detection index (SDIa) method is the simplest approach used to detect these artifacts. However, when the motion vectors are not precise enough in some points they might be declared as blotches too. This situation can also occur in areas containing a high level of noise. To overcome these difficulties, two post-processing methods are proposed in this paper. In the first method, the edge points are first omitted from the set of detected points and then to restore true edges, the constrained dilation algorithm is applied. In the second method, the local average error value is used in detection stage. Additionally, the combination of SDIa and autoregressive (AR) method is proposed to be used in detection stage for rather large blotch regions. Moreover, we propose to use adaptive block sizes in intensity interpolation stage. Finally, a performance comparison among existing methods of detection is presented which clearly shows the superiority of the proposed methods.

Document Type: Research Article


Affiliations: 1: Department of Electrical Engineering, Sharif University of Technology, Azadi St., P.O. Box 11365-9363, Tehran, Iran. 2: Department of Computer Engineering, Sharif University of Technology, Azadi St., P.O. Box 11365-9517, Tehran, Iran.

Publication date: January 1, 2004

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