4 April 1997 Quantifying coding performance for preprocessed images
Author Affiliations +
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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. Ralph Algazi, V. Ralph Algazi, Niranjan Avadhanam, Niranjan Avadhanam, Robert R. Estes, Robert R. Estes, } "Quantifying coding performance for preprocessed images", Proc. SPIE 3025, Very High Resolution and Quality Imaging II, (4 April 1997); doi: 10.1117/12.270045; https://doi.org/10.1117/12.270045
PROCEEDINGS
11 PAGES


SHARE
Back to Top