Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Algorithm/Architecture Co-Design of 3-D Spatio–Temporal Motion Estimation for Video Coding
IEEE Transactions on Multimedia
Grand Alliance HDTV multi-format scan converter
IEEE Transactions on Consumer Electronics
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 two types of motion information
IEEE Transactions on Consumer Electronics
Motion adaptive interpolation with horizontal motion detection for deinterlacing
IEEE Transactions on Consumer Electronics
Motion adaptive deinterlacing of video data with texture detection
IEEE Transactions on Consumer Electronics
Bayesian motion estimation and interpolation in interlaced video sequences
IEEE Transactions on Image Processing
Adaptive interpolation technique for scanning rate conversion
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
Reconfigurable Architecture for Deinterlacer based on Algorithm/Architecture Co-Design
Journal of Signal Processing Systems
An adaptive motion-compensated approach for video deinterlacing
Multimedia Tools and Applications
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A novel motion-adaptive deinterlacing algorithm with edge-pattern recognition and hybrid motion detection is introduced. The great variety of video contents makes the processing of assorted motion, edges, textures, and the combination of them very difficult with a single algorithm. The edge-pattern recognition algorithm introduced in this paper exhibits the flexibility in processing both textures and edges which need to be separately accomplished by line average and edge-based line average before. Moreover, predicting the neighboring pixels for pattern analysis and interpolation further enhances the adaptability of the edge-pattern recognition unit when motion detection is incorporated. Our hybrid motion detection features accurate detection of fast and slow motion in interlaced video and also the motion with edges. Using only three fields for detection also renders higher temporal correlation for interpolation. The better performance of our deinterlacing algorithm with higher content-adaptability and less memory cost than the state-of-the-art 4-field motion detection algorithms can be seen from the subjective and objective experimental results of the CIF and PAL video sequences.