Image Approximation: Signal-to-Noise Ratio

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Osama Harmouche
Osama Harmouche 2018-9-24
回答： Matt J 2018-9-24
can someone help me with this question please ?
(SNR) in decibels (dB): -20*log10(|f-fapp|/f)
The norm is the Frobenius norm (l2 norm of the Matrix reshaped as a column vector). Follow the instructions below to complete the compute_snr function.
this is the steps and info that the question shows in my matlab fun :
function snr = compute_snr(I, Id)
% Input:
% I: the original image
% Id: the approximated (noisy) image
% Output:
% snr: signal-to-noise ratio
% Please follow the instructions in the comments to fill in the missing commands.
% 1) Compute the noise image (original image minus the approximation)
% 2) Compute the Frobenius norm of the noise image
% 3) Compute the Frobenius norm of the original image
% 4) Compute SNR
end

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回答（1 个）

Matt J
Matt J 2018-9-24
You can compute the Frobenius norm using Matlab's norm command
norm(yourImage,'fro')
The other steps in your question are just simple arithmetic.

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