IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
De-interlacing algorithm using spatial-temporal correlation-assisted motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive deinterlacing for real-time applications
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
Motion adaptive de-interlacing with horizontal and vertical motions detection
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
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This paper proposes a motion-adaptive de-interlacing algorithm based on an edge-based median filter (EMF) and adaptive minimum pixel difference filter (AMPDF). To compensate for missing-motion error, which is an important factor in motion-adaptive methods, we used an AMPDF, which estimates an accurate value using different thresholds after classifying areas of the input image into 3 classes. To efficiently interpolate moving diagonal edges, we used an EMF, which adopted a 5-point median filter using the edge information. Finally, to increase the performance, we adopted adaptive interpolation after subdividing the input image into moving, background, and boundary regions. Simulation results showed that the proposed method performs better than existing methods.