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PREDICTION ERROR PROCESSING TECHNIQUE FOR THE REMOVAL REJECTION OF SCRATCHES FROM VIDEO | ||
| Al-Ma'mon College Journal | ||
| Article 1, Volume 0, Issue 21, 2018, Pages 212-221 | ||
| Author | ||
| Jamal Kamil Al-Rudaini | ||
| Abstract | ||
| This paper deals with denoising of color video sequences using improved median - based filters appropriate for real - time implementations. In the paper, it is proved that the application of prediction error processing results in improved efficiency of video restoration. The basic idea is to predict a pixel value by using a nonlinear filter, and then to calculate the prediction error by a comparison with the input value that maybe corrupted. The output value is a sum of the prediction and the prediction error processed according to a nonlinear function. The experimental results prove that such filters are appropriate for removing of scratches from video even in the interlaced format. The computational overhead is less than 10% as compared to classic median-based filters. | ||
| Keywords | ||
| Digital Communication; Digital Filters; Digital video processing | ||
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