Introduction to the Image Analysis and Evaluation (V)

Image Noise Analysis

Abstract

Autocorrelation function and Wiener spectrum used to analyze the random process with time series can be readily applied to analyze the noise in a photographic image. In this paper, those parameters are introduced and described. Measurement results of the Wiener spectra of negative color film, X-ray film and on demand type inkjet image are shown. Color noise images based on the Saunders model are presented by computer simulation. Those obtained color images are evaluated and analyzed, and the contributions to image quality of the Red, Green and Blue components noise are also discussed.