A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A motion-adaptive deinterlacer via hybrid motion detection and edge-pattern recognition
Journal on Image and Video Processing - Regular
Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing
Image and Vision Computing
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Deinterlacing with Motion-Compensated Anisotropic Diffusion
Statistical and Geometrical Approaches to Visual Motion Analysis
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
An MRF-based deinterlacing algorithm with exemplar-based refinement
IEEE Transactions on Image Processing
A robust spatial-temporal line-warping based deinterlacing method
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
True motion-compensated de-interlacing algorithm
IEEE Transactions on Circuits and Systems for Video Technology
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
An edge-preserving motion-compensated approach for video deinterlacing
FMN'10 Proceedings of the Third international conference on Future Multimedia Networking
IEEE Transactions on Consumer Electronics
Deinterlacing using directional interpolation and motion compensation
IEEE Transactions on Consumer Electronics
Motion adaptive interpolation with horizontal motion detection for deinterlacing
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
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
Motion adaptive deinterlacing of video data with texture detection
IEEE Transactions on Consumer Electronics
Novel Intra Deinterlacing Algorithm Using Content Adaptive Interpolation
IEEE Transactions on Consumer Electronics
A Five-Field Motion Compensated Deinterlacing Method Based on Vertical Motion
IEEE Transactions on Consumer Electronics
Deinterlacing with motion adaptive vertical temporal filtering
IEEE Transactions on Consumer Electronics
Fine edge-preserving deinterlacing algorithm for progressive display
IEEE Transactions on Consumer Electronics
High quality deinterlacing using content adaptive vertical temporal filtering
IEEE Transactions on Consumer Electronics
Performance analysis of motion-compensated de-interlacing systems
IEEE Transactions on Image Processing
A De-Interlacing Algorithm Using Markov Random Field Model
IEEE Transactions on Image Processing
Hybrid de-interlacing algorithm based on motion vector reliability
IEEE Transactions on Circuits and Systems for Video Technology
Deinterlacing Using Hierarchical Motion Analysis
IEEE Transactions on Circuits and Systems for Video Technology
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Deinterlacing, defined as the process of converting a stream of interlaced frames into a sequence of progressive frames, represents a key feature in video processing. The interlaced video format, introduced by the old analog television transmission systems as a trade-off between framerate and bandwidth capacity, has become obsolete nowadays, when all transmissions are digital. Moreover, almost all recent displays--whether LCD or plasma--require progressive video input, whereas much of the available video content is in interlaced format. In this paper an adaptive, edge-preserving motion-compensated approach for video deinterlacing is proposed. The algorithm preserves strong edges and interpolates the missing pixels along the contours depending on the motion-degree of the region to which they belong. Our proposal is optimized to lower heavy computation, which is the main drawback of motion-compensated deinterlacing algorithms. Therefore it provides complexity scalability as a trade-off tool between performance and computation time. Experiments demonstrate a significant gain in reconstruction quality as compared to other deinterlacing implementations.