Fuzzy rough sets hybrid scheme for motion and scene complexity adaptive deinterlacing

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Current research activities in the field of deinterlacing include the selection of suitable deinterlacing methods and the estimation of the exact value of a missing line. This paper proposes a spatio-temporal domain fuzzy rough sets rule for selecting a deinterlacing method that is suitable for regions with high motion or frequent scene changes. The proposed algorithm consists of two parts. The first part is fuzzy rule-based edge-direction detection with an edge preserving part that utilizes fuzzy theory to find the most accurate edge direction and interpolates the missing pixels. Using the introduced gradients in the interpolation, the vertical resolution in the deinterlaced image is subjectively concealed. The second part of the proposed algorithm is a rough sets-assisted optimization which selects the most suitable of five different deinterlacing methods and successively builds approximations of the deinterlaced sequence. Moreover, this approach employs a size reduction of the database system, keeping only the information essential for the process. The proposed algorithm is intended not only to be fast, but also to reduce deinterlacing artifacts.

论文关键词:Fuzzy control,Rough set,Deinterlacing,Directional interpolation,Motion analysis,Scene complexity analysis

论文评审过程:Received 22 August 2007, Revised 15 May 2008, Accepted 13 June 2008, Available online 24 June 2008.

论文官网地址:https://doi.org/10.1016/j.imavis.2008.06.001