Two-dimensional orthogonal DCT expansion in triangular and trapezoid regions
Author(s) -
SooChang Pei,
Jian–Jiun Ding,
Tzu-Heng Henry Lee
Publication year - 2010
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 - 10.1117/12.863477
Subject(s) - basis (linear algebra) , discrete cosine transform , basis function , mathematics , orthogonal basis , algorithm , legendre polynomials , hadamard transform , jpeg , walsh function , image (mathematics) , computer science , artificial intelligence , data compression , mathematical analysis , geometry , physics , quantum mechanics
It is known that the 2-D DCT basis is complete and orthogonal in a rectangular region. In this paper, we introduce the way to generate the complete and orthogonal 2-D DCT basis in a trapezoid region or a triangular region without using the complicated Gram-Schmidt method. Moreover, since a polygon can be decomposed several triangular regions, the proposed method is also suitable for the polygonal region. Our algorithm can much generalize the JPEG algorithm. Instead of dividing an image into 8 by 8 blocks, we can divide an image into trapezoid or triangular regions and then transform and code each of them. In addition to the DCT basis, our method can also be used for generating the 2-D complete and orthogonal DFT basis, KLT basis, Legendre basis, Hadamard (Walsh) basis, and polynomial basis in the trapezoid and triangular regions.
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