Patch-based video processing: a variational Bayesian approach
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Image Processing
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
3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform
Journal of Mathematical Imaging and Vision
Partial Differential Equations for Zooming, Deinterlacing and Dejittering
International Journal of Computer Vision
Simultaneous inpainting for image structure and texture using anisotropic heat transfer model
Multimedia Tools and Applications
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Video is usually acquired in interlaced format, where each image frame is composed of two image fields, each field holding same parity lines. However, many display devices require progressive video as input; also, many video processing tasks perform better on progressive material than on interlaced video. In the literature, there exist a great number of algorithms for interlaced to progressive video conversion, with a great tradeoff between the speed and quality of the results. The best algorithms in terms of image quality require motion compensation; hence, they are computationally very intensive. In this paper, we propose a novel de interlacing algorithm based on ideas from the image in painting arena. We view the lines to interpolate as gaps that we need to in paint. Numerically, this is implemented using a dynamic programming procedure, which ensures a complexity of O(S), where S is the number of pixels in the image. The results obtained with our algorithm compare favorably, in terms of image quality, with state-of-the-art methods, but at a lower computational cost, since we do not need to perform motion field estimation.