Answer:
Explanation:
In digital image processing, degradation is a process of introducing defects to the image. Understanding the degradation function will allow restoration of the original image.
There are many different causes for image degradation such as motion blur, digital noise and lens off-focus. In cases like motion blur, it is possible to come up with an very good estimate of the actual blurring function and "undo" the blur to restore the original image. For digital noise, a statistical model can be set up to compensate for the degradation it caused. Similarly lens focus can be compensate by an optical model if the mis-focus is known.
The above are three degradations that I could find. A lot more information can be found about restoration functions. If you search for image degradation online, you will find a discussion on Quora and an interesting introduction from Rice University. Good luck!
Dynamic Host Configuration Protocol, also known as DHCP.
C because bread is not happy with you
