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ImageJ Plug-In for Fast Denoising of Noisy Biological Images


Ted Choueiri
Section Microtechnique, EPFL


Semester Project
November 2006


Abstract

This project objective is to implement a simple, easy-to-use ImageJ plug-in for fast denoising of noisy images using a blind Wiener Filter. The noise is a white Gaussian noise, and the noisy image’s Power Spectral Density follows :

 

 

 


Example

goldhill

Image Goldhill

Noisy goldhill

Noisy Goldhill, SNR 15

PGdenoisednoisy

Projected Gradient denoised, SNR 21.24

Projected Newton denoised, SNR 21.27

PSD (blue) and Linear Fit (black)

PSD of noisy input image (blue) and linear fit (black)

 

PG PSD input PSD model

Projected Gradient Method : PSD of input (blue) and PSD of model (black)

 

PN PSD input model

Projected Newton Method : PSD of input (blue) and PSD of model (black)