09-11-2012, 05:34 PM
Image Interpolation
image_interpolation.ppt (Size: 6.41 MB / Downloads: 197)
Introduction
What is image interpolation?
An image f(x,y) tells us the intensity values at the integral lattice locations, i.e., when x and y are both integers
Image interpolation refers to the “guess” of intensity values at missing locations, i.e., x and y can be arbitrary
Note that it is just a guess (Note that all sensors have finite sampling distance)
A Sentimental Comment
Haven’t we just learned from discrete sampling (A-D conversion)?
Yes, image interpolation is about D-A conversion
Recall the gap between biological vision and artificial vision systems
Digital: camera + computer
Analog: retina + brain
Engineering Motivations
Why do we need image interpolation?
We want BIG images
When we see a video clip on a PC, we like to see it in the full screen mode
We want GOOD images
If some block of an image gets damaged during the transmission, we want to repair it
We want COOL images
Manipulate images digitally can render fancy artistic effects as we often see in movies