Denoising and contranst enhancement

Hi, I'm tryin to write matlab code which would make a differential images and then denoise them and enhence their contrast.

So I have set of multiple differential images which are noisy and in low contrast. Everything would be fine but i cannot get rid of noise.

I've tried use function such as adapthisteq() and filtering by average or median filters but the noise is still reaally high...

Do you have some clues which would work best for this type of images and also quite fast since I've got few data sets in which aprox. 150images which I nedd to proceess and later extract some data from them.

I atttached 'raw' differencial image and after my procession...

Answer 1

[Subhadeep Koley]

Hi, you can use Neighborhood size input argument of the function medfilt2 to specify the strength of the filtering. Also, you can use the function stretchlim to find limits to contrast stretch the image using imadjust. Refer the code below.

clear all; clc; close all;
diffImg = imread('raw_diff.bmp');
% Contrast Enhancement 
enhDiffImg = imadjust(diffImg,stretchlim(diffImg),[]);
% Median Filtering
filtEnhDiffImg = medfilt2(enhDiffImg, [7 7], 'symmetric'); % 7 is the filter window size
imshowpair(diffImg,filtEnhDiffImg,'montage');

Hope this helps!