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
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IEEE Transactions on Circuits and Systems for Video Technology
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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
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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
Motion estimation of deformable objects with motion inertia information
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
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ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
An edge-preserving motion-compensated approach for video deinterlacing
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
An adaptive motion-compensated approach for video deinterlacing
Multimedia Tools and Applications
Iterative second-order derivative-based deinterlacing algorithm
Image Communication
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This paper presents a hybrid de-interlacing algorithm that converts video from interlaced format to progressive format. This hybrid algorithm effectively combines two existing de-interlacing techniques: one that offers high vertical resolution and the other that is robust to erroneous motion vectors. The combination is based on a new measurement of motion vector reliability, so that the hybrid algorithm is dominated by the high-resolution technique if motion vectors are reliable; otherwise, it approaches the robust technique. Motion vector reliability is measured using the a posteriori probability of motion vectors. Experimental results show that this is an effective measure of motion vector reliability. The hybrid algorithm offers high spatial resolution without artifacts caused by erroneous motion vectors, and outperforms four of the best existing techniques in terms of peak signal-to-noise ratio.