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Proceedings Paper

Robust image restoration using adaptive kernel
Author(s): Mohamed L. Hambaba; Inn-Tai Jaiu
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Paper Abstract

We introduce a modified technique for restoring an image that has been distorded by a linear system whose impulse response function is itself random, and in the presence of detection of a long tailed noise. A robust non-parametiic function estimation is introduced. The estimate is motived from the theory of M-estimation and of adaptive kernel estimation regression function.

Paper Details

Date Published: 1 November 1990
PDF: 12 pages
Proc. SPIE 1351, Digital Image Synthesis and Inverse Optics, (1 November 1990); doi: 10.1117/12.23615
Show Author Affiliations
Mohamed L. Hambaba, Stevens Institute of Technology (United States)
Inn-Tai Jaiu, Stevens Institute of Technology (United States)

Published in SPIE Proceedings Vol. 1351:
Digital Image Synthesis and Inverse Optics
Arthur F. Gmitro; Paul S. Idell; Ivan J. LaHaie, Editor(s)

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