Image quantization: statistics and modeling

Bruce R. Whiting; Edward Muka

doi:10.1117/12.317025

24 July 1998 Image quantization: statistics and modeling

Bruce R. Whiting, Edward Muka

Proceedings Volume 3336, Medical Imaging 1998: Physics of Medical Imaging; (1998) https://doi.org/10.1117/12.317025
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

A method for analyzing the effects of quantization, developed for temporal one-dimensional signals, is extended to two- dimensional radiographic images. By calculating the probability density function for the second order statistics (the differences between nearest neighbor pixels) and utilizing its Fourier transform (the characteristic function), the effect of quantization on image statistics can be studied by the use of standard communication theory. The approach is demonstrated by characterizing the noise properties of a storage phosphor computed radiography system and the image statistics of a simple radiographic object (cylinder) and by comparing the model to experimental measurements. The role of quantization noise and the onset of contouring in image degradation are explained.

Citation Download Citation

Bruce R. Whiting and Edward Muka "Image quantization: statistics and modeling", Proc. SPIE 3336, Medical Imaging 1998: Physics of Medical Imaging, (24 July 1998); https://doi.org/10.1117/12.317025

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available