Analysis of denoised image using intensity profile
- The above analysis methods are the traditional methods of image analysis which are highly effective.
- There are some graph based assessment methods of denoised image that analyses either any particular line profile or the whole image.
- There is one graph based assessment method i.e. intensity profile that compares the line profile of denoised image with the reference image.
INTENSITY PROFILE (improfile)
- Intensity profile is a line graph that plots the pixel values along the line segment of the image.
- MATLAB provides an inbuilt function i.e. improfile that draws the intensity profile.
- If the intensity profile of line segment of denoised image overlaps the intensity profile of line segment of reference image, then the denoising results are good.
- And if the intensity profiles doesn't overlap, then the denoising results are not good.
INTENSITY PROFILE (improfile) Implementation (MATLAB Code)
X = imread('cameraman.tif'); ---> X is the Reference Image
Y = imnoise(X,'gaussian',0,0.05); ---> Y is the Noisy Image
Z = Denoising_Method(Y); ---> Z is the Denoised Image
% Internsity Profile Overlapping
figure;
imshow(X);
improfile
hold on
figure;
imshow(Z);
improfile
Fig 1(a) Fig 1(b) Fig 1(c)
Fig 2. Image with line profile
Fig 3. Overlapping of reference and denoised image
- Fig 1(a) is reference image. Fig 1(b) is noisy image. Fig 1(c) is the denoised image.
- Fig 2 is the image with line segment of which the intensity profile is calculated.
- Fig 3. denotes the overlapping scenario of intensity profiles of reference and denoised images.
- How to do Analysis: Since in the Fig 3. the intensity profiles of reference and denoised images are overlapping in a certain good way, that means the denoised image is almost similar to reference image i.e. denoising is satisfactory.
- Note: This quality assessment technique can be used in any field of image restoration like digital image denoising, SAR image despeckling, medical image denoising etc.
For more image processing topics refer: https://www.gofastresearch.com/
Analysis of denoised image using intensity profile
Reviewed by IPR
on
April 19, 2020
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