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Proceedings Paper

Image enhancement by nonlinear techniques in the Fourier domain
Author(s): Bahram Javidi
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Paper Abstract

We present a nonlinear joint transform processor that can perform image enhancement. Image enhancement results are obtained for different degrees of nonlinearity applied to the joint power spectrum. The first order harmonic term at the output plane produces the enhanced image which has the exact Fourier phase information of the input image and a Fourier magnitude of the input modified by the nonlinearity. For compression types of nonlinearities the thresholding will redistribute the energy in the Fourier magnitude of the image by increasing the magnitude of the higher spatial frequencies. Thus the fine details of the image that are contained in the high spatial frequencies of the joint power spectrum are enhanced. We investigate the effects of various types of nonlinearities on the enhanced images. Analytical expressions for the enhanced images obtained by the nonlinear techniques will be provided. Computer simulations of the nonlinear processor for image enhancement are presented to study the performance of the system. We show that the nonlinear technique produces reasonably good results. II.

Paper Details

Date Published: 1 September 1990
PDF: 8 pages
Proc. SPIE 1297, Hybrid Image and Signal Processing II, (1 September 1990); doi: 10.1117/12.21311
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 1297:
Hybrid Image and Signal Processing II
David P. Casasent; Andrew G. Tescher, Editor(s)

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