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Paper Count: 31097
A Novel Deinterlacing Algorithm Based on Adaptive Polynomial Interpolation
Abstract:In this paper, a novel deinterlacing algorithm is proposed. The proposed algorithm approximates the distribution of the luminance into a polynomial function. Instead of using one polynomial function for all pixels, different polynomial functions are used for the uniform, texture, and directional edge regions. The function coefficients for each region are computed by matrix multiplications. Experimental results demonstrate that the proposed method performs better than the conventional algorithms.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1075324Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1102
 T. Doyle, "Interlaced to sequential conversion for EDTV applications," in Proc. Second Int. Workshop Signal Processing of HDTV, pp. 412-430, Feb. 1998.
 M. H. Lee, J. H. Kim, J. S. Lee, K. K. Ryu, and D. I. Song, "A new algorithm for interlaced to progressive scan conversion based on directional correlations and its IC design," IEEE Trans. Consumer Electnon., vol. 40, no. 2, pp. 119-129, May. 1994.
 M. K. Park, M. G. Kang, and S. G. Oh, "New edge dependent deinterlacing algorithm based on horizontal edge pattern," IEEE Trans. on Consumer Electron., vol. 49, no. 4, Nov. 2003.
 S.-H Hong, R.-H Park, S. Yang, and J.-Y Kim, "Edge-preserving spatial deinterlacing for still images using block-based region classification," in Proc. Second Int. Workshop Signal Processing of HDTV, pp. 412-430, Feb. 2006.
 J. W. Suh and J. Jeong, "Fast sub-pixel motion estimation techniques having lower computational complexity," IEEE Trans. on Consumer Electnon., vol. 50, no. 3, pp. 968-973, Aug. 2004.
 M. I. Sezan and A. M. Tekalp, "Adaptive image restoration with artifact suppression using the theory of convex projections," IEEE Trans. on Acoustics, Speech, and Signal Processing, vol. 38, no. 1, Jan. 1990.