Reconstruction of Image Using Just Magnitude Information of Fourier Transform; Is Phase Information Really More Important?

Author

Sarang, R. ; Motlagh, M. R Jahed ; Eslami, P.

Author_Institution

Sci. & Res. Branch, Islamic Azad Univ., Tehran

fYear

2006

fDate

Nov. 28 2006-Dec. 1 2006

Firstpage

56

Lastpage

56

Abstract

There are strong ideas about phase information which are essential for description and recognition of images in which the main information of images are concealed in them. In this paper, we demonstrate that Fourier magnitude is enough for reconstruction of an image in which the recognition of objects is possible and the dogmas presented about the information of phase are subjected to suspicion. A recursive algorithm is proposed reconstructing the image by just using the information of Fourier magnitude. Also this could be as a lossy image compression method with a 50% information compression ratio.

Keywords

Fourier transforms; image reconstruction; Fourier magnitude; Fourier transform; image reconstruction; phase information; recursive algorithm; Approximation algorithms; Computational intelligence; Data mining; Eyes; Fourier transforms; Image coding; Image recognition; Image reconstruction; Layout; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Modelling, Control and Automation, 2006 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on

Conference_Location

Sydney, NSW

Print_ISBN

0-7695-2731-0

Type

conf

DOI

10.1109/CIMCA.2006.172

Filename

4052700