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Proceedings Paper

Stochastic model-based approach for simultaneous restoration of multiple misregistered images
Author(s): Chukka Srinivas; Mandayam D. Srinath
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Paper Abstract

In this paper, the problem of restoration of multiple misregistered, blurred and noisy images is considered. Motivation for this problem comes from the larger problem of construction of a high resolution restored image from the observed set of low-resolution images. The global approach is to decompose the problem into a sequence of sub-problems, namely registration, restoration and interpolation. The restoration problem is addressed here. For simultaneous restoration of the observed images, a parametric stochastic model for the image correlations is derived and used to obtain a linear minimum mean square error (LMMSE) estimate of the original image at each sensor. The resulting restored low-resolution images are integrated to construct a single restored high resolution image. Simulation results are presented to illustrate the performance of the proposed restoration scheme.

Paper Details

Date Published: 1 September 1990
PDF: 12 pages
Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24156
Show Author Affiliations
Chukka Srinivas, General Electric Corporate Research and Development (United States)
Mandayam D. Srinath, Southern Methodist Univ. (United States)

Published in SPIE Proceedings Vol. 1360:
Visual Communications and Image Processing '90: Fifth in a Series
Murat Kunt, Editor(s)

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