De-interlacing Algorithm Using Motion Adaptive and Edge-based Analysis
De-interlacing Algorithm Using Motion Adaptive and Edge-based Analysis
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
True motion-compensated de-interlacing algorithm
IEEE Transactions on Circuits and Systems for Video Technology
Real-time 2-3 pull-down elimination applying motion estimation/compensation in a programmable device
IEEE Transactions on Consumer Electronics
Direction-oriented interpolation and its application to de-interlacing
IEEE Transactions on Consumer Electronics
New edge dependent deinterlacing algorithm based on horizontal edge pattern
IEEE Transactions on Consumer Electronics
Improved interpolation, motion estimation, and compensation for interlaced pictures
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
Video de-interlacing by adaptive 4-field global/local motion compensated approach
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Real-Time De-Interlacing for H.264-Coded HD Videos
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose a novel quality-efficient de-interlacing method for H.264-coded video sequences with various resolutions. In the proposed method, using the syntax elements provided in H.264 bitstreams, four new and efficient strategies are delivered for inter-coded macroblocks to improve the quality of de-interlaced video sequences as well as alleviate the error propagation side effect. Based on the real and generated interlaced video sequences with various common resolutions, experimental results demonstrate the proposed de-interlacing method achieves better quality in terms of both objective and subjective measures when compared with the recently published method by Dong and Ngan.