Sandra Cancino Suárez, Enrique Estupiñán Escalante, Dominik Makowski


Noise in digital video is typically handled withsimple inter-frame operations and since these operationscould be used in more advance video processing is a goodstarting point for any research on video. Although, there aremany barriers to learn and comprehend video processingtopics; these are related mainly to the learning curve of thehardware and software for video processing and theinherent complexity of video. In order to overcome theformer, a set of guides ranging from video standards, tonoise reduction algorithms, in simulation, Simulink and inhardware TMS320DM642, were developed to aid the selflearningprocessing either for researchers or students. Inthis paper we present the result of two different courseswhere this self-learning methodology was used and theresults of selected noise removal algorithms.Index Terms ⎯ Video, noise, video processing, selflearning.

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