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
3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform
Journal of Mathematical Imaging and Vision
Motion-Compensated deinterlacing using edge information
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Adaptive deinterlacing for real-time applications
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part II
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Block-wise processing of motion compensated interlaced-to-progressive conversion (MC-IPC) can cause spurious errors that degrade converted image quality significantly. This paper presents a novel IPC method based on motion adaptive IPC (MA-IPC) with its adaptation assisted by the motion compensation. The motion adaptation is performed with respect to a motion selected from a limited set based on the accuracy evaluated with a reduced and overlapped block. The use of the reduced and overlapped blocks makes evaluation of the accuracy more precise, and implementation less costly. The motion adaptation structure ensures that any possible error occurs pixel-wise so that the block-wise spurious errors can be eliminated. The estimation of the motion is performed efficiently with data already available for the motion adaptation. The proposed motion compensation assisted MA-IPC method provides image quality similar to the MC-IPC, for those images, the MC-IPC offers significant improvement over the MA-IPC, yet at considerably lower computational and implementation costs.