How to determine the type of noise in an image?
5 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
Niranjan
il 1 Feb 2011
Commentato: Walter Roberson
il 23 Gen 2016
Hi all , I am working on blind deconvolution and I have a question.Is there any algorithm or code by which we can determine the noise present in an image?? Please help me in this regard.Thanks in advance.
0 Commenti
Risposta accettata
Walter Roberson
il 1 Feb 2011
Is the Cosmic Microwave Background Radiation "noise" or "signal" ? In any one image it might be "noise" for one purpose and it might be the signal for a different purpose.
For any one image, if you model the noise as being some particular type, and model it as being a second particular type, and you find that the second model gives you "a better fit" than the first one, you cannot be sure that the second model is the correct one. Random processes are random and the true cause of the noise might have been the first model and the better fit of the second model might have been due to "overfitting" over a limited set of data.
We do Magnetic Resonance Spectroscopy (MRS). Each time we do an experiment, we get an enormously powerful peak. Nothing else comes within 1% of the power of that peak. So we should study the peak carefully and discard the rest as being noise, right? Wrong! For our purposes, that peak is noise and the interesting information is in that 1%. The big peak is a reflection of the amount of water in the system (and tissue mostly is water), whereas we care about parts per million of obscure chemicals, where 2 parts per million might be required for normal health and 4 parts per million might mean advanced cancer (or vice versus.)
Più risposte (0)
Vedere anche
Categorie
Scopri di più su Biomedical Imaging in Help Center e File Exchange
Prodotti
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!