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I am working do determine an optimum threshold for wavelt transform image denoise. I have the following quesstion. considering a vector of a data d*:

d*= d + noise

where the noise is zero mean and with variance sigma ~(0,sigma) and the signal "d" has variance sigma_x.

I have to infer the noise variance sigma and the signal variance sigma_x.

How can I do it followin g the Bayesian Methodology of Inference.

I have experience with Bayesian inference, but never have feced this problem.

Thank you,

Loures

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# Data and noise variance

Can you offer guidance or do you also need help?

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