Quantifying coding performance for preprocessed images

V. Ralph Algazi; Niranjan Avadhanam; Robert R. Estes Jr.

doi:10.1117/12.270045

4 April 1997 Quantifying coding performance for preprocessed images

V. Ralph Algazi, Niranjan Avadhanam, Robert R. Estes Jr.

Proceedings Volume 3025, Very High Resolution and Quality Imaging II; (1997) https://doi.org/10.1117/12.270045
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

Typical objective methods for quantifying image quality, as part of evaluating coder performance, are obtained by computing a single or several numbers as a function of the difference image between the original and coded images. Pre- processing images prior to encoding can remove noise, or unimportant detail, and thus improve the overall performance of the coder.However, the error image obtained with the pre- processed image as a reference is substantially different than the one obtained if the original. This paper addresses the issue of combining the changes in the image due to pre- processing and the degradation due to encoding. The objective is to obtain global quality measures that quantify the value of pre-processing for image coding.

Citation Download Citation

V. Ralph Algazi, Niranjan Avadhanam, and Robert R. Estes Jr. "Quantifying coding performance for preprocessed images", Proc. SPIE 3025, Very High Resolution and Quality Imaging II, (4 April 1997); https://doi.org/10.1117/12.270045

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