Richardson Lucy Deconvolution
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The Richardson Lucy algorithm, also known as Richardson Lucy deconvolution, is an iterative procedure for recovering a latent image that has been blurred by a known point spread function.In mathematics, deconvolution is an algorithm-based process used to reverse the effects of convolution on recorded data. The concept of deconvolution is widely used in the techniques of signal processing and image processing. Because these techniques are in turn widely used in many sc...
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. The Richardson Lucy algorithm, also known as Richardson Lucy deconvolution, is an iterative procedure for recovering a latent image that has been blurred by a known point spread function.In mathematics, deconvolution is an algorithm-based process used to reverse the effects of convolution on recorded data. The concept of deconvolution is widely used in the techniques of signal processing and image processing. Because these techniques are in turn widely used in many scientific and engineering disciplines, deconvolution finds many applications.In this case is noise that has entered our recorded signal. If we assume that a noisy signal or image is noiseless when we try to make a statistical estimate of g, our estimate will be incorrect. In turn, our estimate of will also be incorrect. The lower the signal-to-noise ratio, the worse our estimate of the deconvolved signal will be.
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