IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Multiresolution-Based Texture Adaptive Algorithm for High-Quality Deinterlacing
IEICE - Transactions on Information and Systems
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
A novel de-interlacing technique using bi-directional motion estimation
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartI
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
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
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We propose a new de-interlacing algorithm using motion compensated interpolation. In the proposed scheme, motion estimation is first performed between the same parity fields, i.e., the previous and the next field, and then the motion vector is refined in the interpolated field. In conventional motion compensated schemes, a pre-filter such as line averaging is applied to interpolate missing lines before the motion estimation between the opposite parity fields. The proposed scheme does not require the pre-filter because block matching is performed between the same parity fields. For further improvement, a five-point median filter with temporal emphasis is used to reduce the interpolation error caused by incorrect motion. Computer simulation results indicate that the proposed scheme provides a better visual performance than conventional de-interlacing algorithms