A new technique for image edge crisping based on rational function mapping

Author

Zhang Shu ; Chen Linzhu ; Jiang Junren ; Ren Kailong

Author_Institution

Harbin Shipbuilding Eng. Inst., Heilongjiang, China

Volume

2

fYear

1993

fDate

19-21 Oct. 1993

Firstpage

922

Abstract

A new technique in the frequency domain for image edge crisping or enhancement is proposed. In this method, the Fourier transform magnitude of an image is modified by a rational function with the phase kept invariant. The inverse transform of the modified Fourier transform results in an enhanced image with edge crisping. In practical applications, the use of the method is shown to produce better results. The method is somewhat similar to the alpha-rooting method (W.K. Pratt, 1978) or the transform amplitude sharpening method (S.K. Mitra and T.H. Yu, 1987), but the new technique does not suffer from the serious side-effects of the alpha-rooting method and is more effective and simpler than the transform amplitude sharpening method.<>

Keywords

Fourier transforms; image processing; inverse problems; Fourier transform magnitude; alpha-rooting method; frequency domain technique; image edge crisping; image enhancement; inverse transform; phase invariant function; rational function mapping; transform amplitude sharpening method; Background noise; Fourier transforms; Frequency domain analysis; Image analysis; Image enhancement; Image processing; Radar imaging; Radar theory; Remotely operated vehicles; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '93. Proceedings. Computer, Communication, Control and Power Engineering.1993 IEEE Region 10 Conference on

Conference_Location

Beijing, China

Print_ISBN

0-7803-1233-3

Type

conf

DOI

10.1109/TENCON.1993.320163

Filename

320163