Picture rate conversion using regression based filters

Picture rate conversion using regression based filters

Picture Rate Conversion (PRC) has become a mainstream feature in television sets. Over the years, a complete picture rate conversion system has become quite complex. This results in a larger number of heuristics, whose interactions can be hard to predict. In [L. An and A. Heinrich, 2009] a method is...

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Hauptverfasser: Withaar, T., Eerenberg, O.
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Equations
Filtering
Interpolation
Motion control
Motion estimation
Nonlinear filters
Optimization methods
Partial response channels
Vectors
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description Picture Rate Conversion (PRC) has become a mainstream feature in television sets. Over the years, a complete picture rate conversion system has become quite complex. This results in a larger number of heuristics, whose interactions can be hard to predict. In [L. An and A. Heinrich, 2009] a method is proposed to optimize the last part of the PRC-system, the interpolation of pixel data, given a set of motion vectors. It is shown that such a method is capable of handling halo-reduction. It does, however, require a lookup-table which can be fairly large. Also, generating the class-codes still involves heuristics. In this paper an alternative is presented which aims to address these issues. The interpolation is solved as a regression problem leading to a single set of coefficients, while still solving the occlusion problem.
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subjects Equations
Filtering
Interpolation
Motion control
Motion estimation
Nonlinear filters
Optimization methods
Partial response channels
Vectors
title Picture rate conversion using regression based filters
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