4 April 1997 Quantifying coding performance for preprocessed images
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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
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