A fuzzy edge-dependent motion adaptive algorithm for de-interlacing
Fuzzy Sets and Systems
A motion-adaptive deinterlacer via hybrid motion detection and edge-pattern recognition
Journal on Image and Video Processing - Regular
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
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
Fine directional de-interlacing algorithm using modified Sobel edge detection
CSS '07 Proceedings of the Fifth IASTED International Conference on Circuits, Signals and Systems
True motion-compensated de-interlacing algorithm
IEEE Transactions on Circuits and Systems for Video Technology
New weighted distance de-interlacing algorithm based on E-ELA and NAL
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
A motion compensated de-interlacing algorithm for motive object capture
ICDHM'07 Proceedings of the 1st international conference on Digital human modeling
Reconfigurable Architecture for Deinterlacer based on Algorithm/Architecture Co-Design
Journal of Signal Processing Systems
Motion-Compensated deinterlacing using edge information
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Model type recognition using de-interlacing and block code generation
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
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An adaptive technique for scanning rate conversion and interpolation is proposed. This technique performs better than the edge-based line average algorithm, especially for an image with more horizontal edges. Moreover, it is easy to implement and a simple VLSI architecture is proposed. Computer simulation shows that a 37.0 dB image can be obtained via our proposed technique, while edge-based line average algorithm only achieves 35.2 dB