A diagonally-oriented DCT-like 2D block transform
Author(s) -
Ivan Selesnick,
Onur G. Guleryuz
Publication year - 2011
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.891884
Subject(s) - discrete cosine transform , orthonormal basis , computer science , algorithm , lapped transform , transform coding , representation (politics) , artificial intelligence , computer vision , image (mathematics) , physics , quantum mechanics , politics , political science , law
Due to the prevalence of edges in image content, various directional transforms have been proposed for the efficient representation of images. Such transforms are useful for coding, denoising, and image restoration using sparse signal representation techniques. This paper describes a new non-separable 2D DCT-like orthonormal block transform that is optimized for a specified orientation angle. The approach taken in this paper is to extend to two-dimensions one approach (of several) for constructing the standard 1D DCT. The proposed transform is obtained as the eigenvectors of particular matrices, as is the standard 1D DCT.
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