DISCRETE ORTHOGONAL TRANSFORM FOR GAPPY IMAGE EXTRAPOLATION
作者： Jaroslav Polec , Tatiana Karlubíková
关键词: Image (mathematics) 、 Extrapolation 、 Mathematics 、 Linear approximation 、 Object (computer science) 、 Missing data 、 Algorithm 、 Discrete mathematics 、 Set (abstract data type) 、 Pixel 、 Basis function
摘要: An important issue in object-based image coding is the efficient description of segments having an arbitrary shape, that able to cope with missing pixels or blocks (for example present due transmission errors). In this paper we a method for approximating data existing set basis functions selected orthogonal transform. Best extrapolation found according linear approximation theory as weighted sum functions, where coefficients are solutions derived matrix equation.
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sci-hub.st 参考文章(4)
Ivana Kolingerová, Modified DAG Location for Delaunay Triangulation international conference on computational science. pp. 125- 134 ,(2002) , 10.1007/3-540-47789-6_13
J. Polec, J. Pavlovicova, Generalised interpolation of segmented images using shape-independent orthogonal transforms international conference on image processing. ,vol. 3, pp. 888- 890 ,(2001) , 10.1109/ICIP.2001.958266
A. Kaup, Object-based texture coding of moving video in MPEG-4 IEEE Transactions on Circuits and Systems for Video Technology. ,vol. 9, pp. 5- 15 ,(1999) , 10.1109/76.744271
Michael Gilge, Thomas Engelhardt, Ralf Mehlan, Coding of arbitrarily shaped image segments based on a generalized orthogonal transform Signal Processing-image Communication. ,vol. 1, pp. 153- 180 ,(1989) , 10.1016/0923-5965(89)90007-6