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Fast local motion-compensation algorithm for video sequences with brightness variations

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2 Author(s)
Sang Hyun Kim ; Dept. of Electron. Eng., Sogang Univ., Seoul, South Korea ; Rae-Hong Park

Proposes a fast local motion-compensation algorithm that improves motion-compensation performance for video sequences with brightness variations. The brightness variation parameters, a multiplier and an offset field for image intensity, are robustly estimated and local motions are compensated. We also propose the frame classification method based on the cross entropy between histograms of two successive frames, to detect the frame with brightness variations. Simulation results show that the proposed method yields a higher peak signal-to-noise ratio than the conventional methods, with a low computational load, when the video scene contains large brightness changes.

Published in:

IEEE Transactions on Circuits and Systems for Video Technology  (Volume:13 ,  Issue: 4 )