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Updated: Jul 7, 2026
09:54
Live-imaging of the Drosophila Pupal Eye
Published on: January 12, 2015
Restoration of randomly blurred images via the maximum a posteriori criterion
Abstract:
The maximum a posteriori (MAP) estimation technique is applied to the problem of restoring images distorted by noisy point spread functions and additive noise. The resulting MAP estimator is nonlinear and is obtained by numerically maximizing a conditional probability density function. The energy nonnegativity constraint is incorporated in the optimization process. Although the deblurring results are slightly inferior to those obtained by applying the Wiener criterion, the advantage of the MAP estimator lies in its significant suppression of noise.
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