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Proceedings Paper

An Investigation Of MSE Contributions In Transform Image Coding Schemes
Author(s): John R. Parsons; Andrew G. Tescher
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Paper Abstract

The mean square error (MSE) is a classical measure of image distortion. However, this metric is generally not a faithful indication of subjective image quality. We attempt to correct this deficiency by addressing the individual error sources in transform image coding. Specifically, the component of the MSE introduced by transform coefficient deletion is separated from requantization effects. Results are demonstrated in both numerical and pictorial form.

Paper Details

Date Published: 30 October 1975
PDF: 11 pages
Proc. SPIE 0066, Efficient Transmission of Pictorial Information, (30 October 1975); doi: 10.1117/12.965364
Show Author Affiliations
John R. Parsons, Aerospace Corporation (United States)
Andrew G. Tescher, Aerospace Corporation (United States)

Published in SPIE Proceedings Vol. 0066:
Efficient Transmission of Pictorial Information
Andrew G. Tescher, Editor(s)

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