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ICIP
2001
IEEE

Application of the motion vector constraint to the regularized enhancement of compressed video

12 years 1 months ago
Application of the motion vector constraint to the regularized enhancement of compressed video
In this paper, we present a novel fidelity constraint for the image enhancement problem by exploiting the motion vectors of a compressed video bit-stream. These vectors establish a correspondence between image pixels across a series of frames, and our goal is to maintain this relationship during processing. In our past work, we considered algorithms that relied on the sum-of-absolute differences as the match criteria. As we show in this paper, this metric is problematic for the enhancement problem. We then pose the constraint within the context of a sum-of-squared errors criterion for matching. This allows for a more rigorous treatment of the fidelity constraint. Finally, experimental results illustrate the performance of the new constraint.
C. Andrew Segall, Aggelos K. Katsaggelos
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors C. Andrew Segall, Aggelos K. Katsaggelos
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