Page 7 - Artificial intelligence

Purpose of Image processing

The purpose of image processing is divided into 5 groups.

They are:

1. Visualization - Observe the objects that are not visible. Data visualization uses algorithms
to create images from data so humans can understand and respond to that data more effectively.
Artificial intelligence development is the quest for algorithms that can “understand” and respond to
data the same was as a human can — or better. It might be tempting to think that the relationship
between the two is that to the extent that AI development succeeds, datavis will become irrelevant.
After all, will we need a speedometer to visualize how fast a car is going when it’s driving itself?
Perhaps in some distant future, it might be the case that we delegate so much to AI systems that we
lose the desire to understand the world for ourselves, but we are far from that dystopia today. As it
stands, despite the name, AI development is still very much a human endeavour and AI developers
make heavy use of data visualization, and on the other hand, AI techniques have the potential to
transform how data visualization is done.

2. Image sharpening and restoration - To create a better image. Image restoration is
performed by reversing the process that blurred the image and such is performed by imaging a point
source and use the point source image, which is called the Point Spread Function (PSF) to restore the
image information lost to the blurring process.

ARTIFICIAL INTELLIGENCE – PREPARED BY BALAMURUGAN