1 September 1990 Stochastic model-based approach for simultaneous restoration of multiple misregistered images
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Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24156
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland
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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chukka Srinivas, Chukka Srinivas, Mandayam D. Srinath, Mandayam D. Srinath, } "Stochastic model-based approach for simultaneous restoration of multiple misregistered images", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); doi: 10.1117/12.24156; https://doi.org/10.1117/12.24156
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