High-quality image magnification applying Gerchberg-Papoulis iterative algorithm with discrete cosine transform

Eiji Shinbori; Mikio Takagi

doi:10.1117/12.131448

1 November 1992 High-quality image magnification applying Gerchberg-Papoulis iterative algorithm with discrete cosine transform

Eiji Shinbori, Mikio Takagi

Author Affiliations +

Proceedings Volume 1818, Visual Communications and Image Processing '92; (1992) https://doi.org/10.1117/12.131448
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

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Eiji Shinbori and Mikio Takagi "High-quality image magnification applying Gerchberg-Papoulis iterative algorithm with discrete cosine transform", Proc. SPIE 1818, Visual Communications and Image Processing '92, (1 November 1992); https://doi.org/10.1117/12.131448

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