Expectation Maximization Deconvolution Algorithm
نویسنده
چکیده
In this paper, we use a general mathematical and experimental methodology to analyze image deconvolution. The main procedure is to use an example image convolving it with a know Gaussian point spread function and then develop algorithms to recover the image. Observe the deconvolution process by adding Gaussian and Poisson noise at different signal to noise ratios. In addition, we will describe the effect of the width of the Gaussian which is used to blur the image. The core algorithms in this paper is the iterative E-M algorithm as well as the non-iterative least squares deconvolution algorithm.
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