Fuzzy Rule Based Edge-Sensitive Line Average Algorithm in Interlaced HDTV Sequences
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Information Sciences: an International Journal
Patch-based video processing: a variational Bayesian approach
IEEE Transactions on Circuits and Systems for Video Technology
Weighted fuzzy reasoning scheme for interlaced to progressive conversion
IEEE Transactions on Circuits and Systems for Video Technology
De-interlacing algorithm using spatial-temporal correlation-assisted motion estimation
IEEE Transactions on Circuits and Systems for Video Technology
Global motion compensation based de-interlacing using adaptive integral projection
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
IEEE Transactions on Fuzzy Systems
Motion-Compensated deinterlacing using edge information
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
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
Application for deinterlacing method using edge direction classification and fuzzy inference system
Multimedia Tools and Applications
Journal of Visual Communication and Image Representation
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We present a new method for the motion detection/compensation between opposite parity fields in interlaced video sequences. We introduce a phase-correction filter, which is applied to one type (even or odd) of fields before motion detection/compensation. By means of this phase-correction filter, the motion-compensated PSNR has been improved by more than 2 dB, on average. We also present a new deinterlacing algorithm based on the newly developed motion detection/compensation. This algorithm requires storing one field only, and the phase-corrected field is used for both motion detection/compensation and intrafield deinterlacing, thus making the proposed algorithm computationally very efficient. Excellent deinterlacing results have been obtained