Exercise $3\mathrm{.}7$ Read in the example images $$cameraman$.$tif$$ and $$circles$.$png$$ and convert

the variable resulting from the latter into the unsigned $8-$bit type of the former using the

Matlab casting function uint$8().$ Concatenate these two images into a single image $($using

the Matlab function horzcat$())$ and display it$.$ Why can you not see the circles in the

resulting image? $($Try also using the Matlab imagesc function$).$

Using the logarithmic transform $($Example $3\mathrm{.}8),$ adjust the dynamic range of this

concatenated image so that both the outline of the cameraman$$s jacket and the outline

of the circles are just visible $($parameter C $>10$ will be required$).$ By contrast, investigate the

use of both histogram equalization and adaptive histogram equalization on this concatenated

image. Which approach gives the best results for overall image clarity and why is this

approach better for this task?