The engineering of image formation poses limits on the spatial resolution

$($Section $1\mathrm{.}2)$ of an image through the digitization process. At the limits of spatial resolution

certain image details are lost. Using the Matlab example images football.jpg and text.

png$,$ experiment with the use of the imresize$()$ function both in its simplest form $($using a

single scale parameter$)$ and using a specified image width and height $($rows and columns$).$

As you reduce image size, at what point do certain image details deteriorate beyond

recognition$/$comprehension within the image? You may also wish to investigate the use of

imresize$()$ for enlarging images. Experiment with the effects of enlarging an image using all

three of the available interpolation functions for the Matlab imresize$()$ function. What

differences do you notice? $($Also try timing different resizing interpolation options using the

Matlab tic$()/$toc$()$ functions.$)$