Share Email Print

Proceedings Paper

MTF as a quality measure for compressed images transmitted over computer networks
Author(s): Ofer Hadar; Adrian Stern; Merav Huber; Revital Huber
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

One result of the recent advances in different components of imaging systems technology is that, these systems have become more resolution-limited and less noise-limited. The most useful tool utilized in characterization of resolution- limited systems is the Modulation Transfer Function (MTF). The goal of this work is to use the MTF as an image quality measure of image compression implemented by the JPEG (Joint Photographic Expert Group) algorithm and transmitted MPEG (Motion Picture Expert Group) compressed video stream through a lossy packet network. Although we realize that the MTF is not an ideal parameter with which to measure image quality after compression and transmission due to the non- linearity shift invariant process, we examine the conditions under which it can be used as an approximated criterion for image quality. The advantage in using the MTF of the compression algorithm is that it can be easily combined with the overall MTF of the imaging system.

Paper Details

Date Published: 16 December 1999
PDF: 12 pages
Proc. SPIE 3814, Mathematics of Data/Image Coding, Compression, and Encryption II, (16 December 1999); doi: 10.1117/12.372747
Show Author Affiliations
Ofer Hadar, Ben-Gurion Univ. of the Negev (Israel)
Adrian Stern, Ben-Gurion Univ. of the Negev (Israel)
Merav Huber, Technion--Israel Institute of Technology (Israel)
Revital Huber, Technion--Israel Institute of Technology (Israel)

Published in SPIE Proceedings Vol. 3814:
Mathematics of Data/Image Coding, Compression, and Encryption II
Mark S. Schmalz, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?