Image Processing class and MATLAB code

A power-law transformation of the form shown in Note 3, page 10.

Hint: you might want to use the function: g = stretchTransform(f,varargin)

in (2) there are two parameters, k and E for which values have to be selected. As in most enhancement tasks, experimentation is a must. The objective of this project is to obtain the best visual enhancement possible with the methods in (2). Once (according to your judgment) you have the best visual result for each transformation, explain the reasons for the major differences between them.

For problem (2): 2. the original image, 3. the enhanced image, 4. What is your pick for the two parameters, k and E?

if possible, could you put an original picture and an enhanced picture on the solution, please?(any picture is fine)

Thank you in advance

3: Contrast-Stretching Transformations s=T(r)=1+(k/r)E1 - g=1./(1+(k./( double(f) +eps)).E) - Stretch levels is k - E controls the slope of the function T - Expand narrow range of input intensity k into a wide range of light levels See how varargin is used in the function g= stretchTransform(f, varargin) for computing g=1./(1+(k./f).E), then test the following codes: - f=im2 double(imread('bonescan.tif')); - k=mean2(f) - E=0.9 - figure; imshow(f); figure; imshow(g); - r=0:1/255:1; - T=1./(1+k./r).E - figure; plot(T) Now you try: g=stretchTransform(f);figure;imshow(g)