Efficient local transformation estimation using Lie operators
Information Sciences: an International Journal
Fuzzy Metrics Application in Video Spatial Deinterlacing
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Information Sciences: an International Journal
Patch-based video processing: a variational Bayesian approach
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
Adaptive arbitration of intra-field and motion compensation methods for de-interlacing
IEEE Transactions on Circuits and Systems for Video Technology
An MRF-based deinterlacing algorithm with exemplar-based refinement
IEEE Transactions on Image Processing
Global motion compensation based de-interlacing using adaptive integral projection
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
True motion-compensated de-interlacing algorithm
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Fuzzy Systems
Deinterlacing method based on edge direction refinement using weighted maximum frequent filter
Proceedings of the 5th International Conference on Ubiquitous Information Management and Communication
Fuzzy motion adaptive algorithm and its hardware implementation for video de-interlacing
Applied Soft Computing
Journal of Visual Communication and Image Representation
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A de-interlacing algorithm using adaptive 4-field global/local motion compensated approach is presented. It consists of block-based directional edge interpolation, same-parity 4-field motion detection, global/local motion estimation and compensation. The edges are sharper when the directional edge interpolation is adopted. The same parity 4-field motion detection and the 4-field local motion estimation detect the static areas and fast motion by four reference fields, and the global motion estimation detects the camera panning and zooming motions. The global and local motion compensation recover the interlaced videos to the progressive ones. Experimental results show that the peak signal-to-noise ratio of our proposed algorithm is 2∼3 dB higher than that of previous studies and attain the best quality of subjective view.