Capture an image $($input image$)$ of any object or scene using your smartphone. Then, write a program to perform the following tasks:

Read the input image in gray$-$scale

Modify the brightness of the input image by applying the following equation

$s=c{r}^{}$

where:

$s$ is the output gray level.

$r$ is the input gray level.

$$ is a random value $($between $0\mathrm{.}04$ and $25)$ you generate using your university ID as a seed.

Calculate and print the value of the constant $c$

Display the image before and after modifying the brightness in the same frame or window in gray$-$scale. Label them as "Before" and "After" respectively.

Display the histograms of the images before and after modification, in the same manner as in task $4.$

Save both images using your ID in the filenames.

Please submit your source code along with a report in PDF format. The report should contain all the outputs of the tasks mentioned above and the code segments corresponding to each task. Adhere to the following regulations:

Each student must complete the assignment individually.

Only C$,$ C$++,$ or Python programming languages can be used, in conjunction with OpenCV.

Resources: OpenCV Documentation

Deadline: $05\mathrm{.}11\mathrm{.}2023$