Analysis of the quality of digital images through a noise spectrum

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.