Analysis of the quality of digital images through a noise spectrum

Author

Venturini, Yeda Regina ; Cruvinel, Paulo Esteviio

Author_Institution

DC-UFSCar, Sao Carlos, Brazil

fYear

1996

fDate

9-11 Dec 1996

Firstpage

117

Lastpage

122

Abstract

This paper deals with the implementation of an algorithm for digital image quality analysis based on the Wiener technique. Image quality is evaluated through the analysis of image noise. The algorithm for Wiener spectral analysis is based on both Fourier transform and random process techniques. An interface with several menus for image analysis is also included. The results obtained with implementation of the algorithm indicate its potential for image quality analysis and its applicability not only to tomographic images but also to images obtained through other systems, which include both acquisition and digital reconstruction procedures

Keywords

Fourier transforms; Wiener filters; image processing; noise; spectral analysis; stochastic processes; Fourier transform; Wiener spectral analysis; digital image quality analysis; image acquisition; image reconstruction; menu interface; noise spectrum; random process techniques; tomographic images; Algorithm design and analysis; Autocorrelation; Digital images; Fourier transforms; Image analysis; Image quality; Image reconstruction; Random processes; Spectral analysis; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetic Vision, 1996. Proceedings., Second Workshop on

Conference_Location

Sao Carlos

Print_ISBN

0-8186-8058-X

Type

conf

DOI

10.1109/CYBVIS.1996.629450

Filename

629450