An integrated method for satellite image interpolation
International Journal of Remote Sensing
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Weighted fuzzy reasoning scheme for interlaced to progressive conversion
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
Global motion compensation based de-interlacing using adaptive integral projection
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
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
An adaptive motion-compensated approach for video deinterlacing
Multimedia Tools and Applications
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In this paper, we propose a new deinterlacing algorithm, which uses directional interpolation and motion compensation. In the proposed method, intrafield interpolation is first performed in the direction that shows the highest correlation. Second, motion estimation is performed between two fields of the same parity. The motion vector is further refined in half-pixel accuracy. In the conventional motion compensated methods, a prefilter such as line averaging, is applied to interpolate missing lines prior to motion estimation between opposite parity fields. The proposed method does not require this prefilter since block matching is performed between the same parity fields. Finally, we apply a test and use either directional interpolation or motion compensated interpolation depending on the test result. Experimental results demonstrate that the proposed method provides better performances than conventional deinterlacing algorithms.