An inpainting-based deinterlacing method
Video is usually acquired in interlaced format, where each image frame is composed of two image fields, each field/nholding 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...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2007 |
| País: | España |
| Institución: | Universitat Pompeu Fabra |
| Repositorio: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:repositori.upf.edu:10230/25976 |
| Acceso en línea: | http://hdl.handle.net/10230/25976 http://dx.doi.org/10.1109/TIP.2007.903844 |
| Access Level: | acceso abierto |
| Palabra clave: | Tractament del senyal Vídeo Geometry Interpolation Interlacing Inpainting Video restoration |
| Sumario: | Video is usually acquired in interlaced format, where each image frame is composed of two image fields, each field/nholding 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 deinterlacing algorithm based on ideas from the image inpainting arena. We view the lines to interpolate as gaps that we need to inpaint. 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. |
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