|
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
Image Goldhill
|
Noisy Goldhill, SNR 15
|
Projected Gradient denoised, SNR 21.24
|
Projected Newton denoised, SNR 21.27
|
PSD of noisy input image (blue) and linear
fit (black)
|
Projected Gradient Method : PSD of input
(blue) and PSD of model (black)
|
Projected Newton Method : PSD of input
(blue) and PSD of model (black)
|
|
|
|