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Why the restoration is called as unconstrained restoration in image processing?

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In the absence of any knowledge about the noise ‘n’, a meaningful criterion

function is to seek an f^ such that H f^ approximates of in a least square sense

by assuming the noise term is as small as possible.

Where H = system operator.

f^ = estimated input image.

g = degraded image.

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