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!
All of the aforementioned are true about in-database processing technology except: D. it is the same as in-memory storage technology.
<h3>What is an
in-database processing technology?</h3>
An in-database processing technology can be defined as a type of database technology that is designed and developed to allow the processing of data to be performed within the database, especially by building an analytic logic into the database itself.
This ultimately implies that, an in-database processing technology is completely different from in-memory storage technology because this used for the storage of data.
Read more on database here: brainly.com/question/13179611
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