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Proceedings Paper

High-quality image magnification applying Gerchberg-Papoulis iterative algorithm with discrete cosine transform
Author(s): Eiji Shinbori; Mikio Takagi
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Paper Abstract

A new image magnification method, called 'IM-GPDCT' (image magnification applying the Gerchberg-Papoulis (GP) iterative algorithm with discrete cosine transform (DCT)), is described and its performance evaluated. This method markedly improves image quality of a magnified image using a concept which restores the spatial high frequencies which are conventionally lost due to use of a low pass filter. These frequencies are restored using two known constraints applied during iterative DCT: (1) correct information in a passband is known and (2) the spatial extent of an image is finite. Simulation results show that the IM- GPDCT outperforms three conventional interpolation methods from both a restoration error and image quality standpoint.

Paper Details

Date Published: 1 November 1992
PDF: 11 pages
Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); doi: 10.1117/12.131448
Show Author Affiliations
Eiji Shinbori, Dai Nippon Printing Co., Ltd. (Japan)
Mikio Takagi, Univ. of Tokyo (Japan)


Published in SPIE Proceedings Vol. 1818:
Visual Communications and Image Processing '92
Petros Maragos, Editor(s)

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