De-Interlacing: A Key Technology for Scan Rate Conversion
De-Interlacing: A Key Technology for Scan Rate Conversion
A method of de-interlacing with motion compensated interpolation
IEEE Transactions on Consumer Electronics
A motion adaptive 3-D de-interlacing algorithm based on the brightness profile pattern difference
IEEE Transactions on Consumer Electronics
An effective de-interlacing technique using motion compensated interpolation
IEEE Transactions on Consumer Electronics
Adaptive scan rate up-conversion system based on human visual characteristics
IEEE Transactions on Consumer Electronics
Direction-oriented interpolation and its application to de-interlacing
IEEE Transactions on Consumer Electronics
Deinterlacing using directional interpolation and motion compensation
IEEE Transactions on Consumer Electronics
An effective de-interlacing technique using two types of motion information
IEEE Transactions on Consumer Electronics
Motion adaptive interpolation with horizontal motion detection for deinterlacing
IEEE Transactions on Consumer Electronics
A motion-adaptive de-interlacing method using an efficient spatial and temporal interpolation
IEEE Transactions on Consumer Electronics
New edge dependent deinterlacing algorithm based on horizontal edge pattern
IEEE Transactions on Consumer Electronics
Efficient de-interlacing technique by inter-field information
IEEE Transactions on Consumer Electronics
De-interlacing algorithms based on motion compensation
IEEE Transactions on Consumer Electronics
Motion adaptive deinterlacing with accurate motion detection and anti-aliasing interpolation filter
IEEE Transactions on Consumer Electronics
An efficient and robust adaptive deinterlacing technique
IEEE Transactions on Consumer Electronics
A New EDI-based Deinterlacing Algorithm
IEEE Transactions on Consumer Electronics
IEEE Transactions on Consumer Electronics
Performance analysis of motion-compensated de-interlacing systems
IEEE Transactions on Image Processing
Adaptive interpolation technique for scanning rate conversion
IEEE Transactions on Circuits and Systems for Video Technology
Robust methods for high-quality stills from interlaced video in the presence of dominant motion
IEEE Transactions on Circuits and Systems for Video Technology
Fast motion vector estimation using multiresolution-spatio-temporal correlations
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Motion compensation assisted motion adaptive interlaced-to-progressive conversion
IEEE Transactions on Circuits and Systems for Video Technology
Hybrid de-interlacing algorithm based on motion vector reliability
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
An adaptive motion-compensated approach for video deinterlacing
Multimedia Tools and Applications
Journal of Visual Communication and Image Representation
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De-interlacing algorithms are used to convert interlaced video into progressive scanning format. The motion-adaptive technique provides acceptable picture quality, but the quality of the motion area still needs to be improved. Among the various de-interlacing techniques, the motion-compensated de-interlacing technique provides the best performance if the estimated motion information is reliable. However, it suffers from inaccurate motion estimation, and the weak error protection thus deteriorates the visual quality. This paper presents a motion-compensated de-interlacing algorithm with highly accurate motion estimation and robust error detection. In order to obtain more accurate motion information, spatial-temporal correlation-assisted motion estimation is proposed. The spatial and temporal correlations among the motion vectors (MVs) are exploited to find the true motion of the object. In order to reject incorrect temporal information, a hierarchical MV reliability verification is provided. The possible defects in both large and small areas can be detected effectively. The experimental results show that the proposed algorithm outperforms existing algorithms and produces high quality de-interlaced results in various video sequences.