Objective of this project is to compare interpolation techniques by using Matlab. In the first part of the project we eliminated half of the columns of random data(eliminating 50 percent of the data), in the second part we eliminated half of the columns and rows of an image (eliminating 75 percent of the data) and applied the interpolation techniques to be able to obtain original data or image.
Interpolation Techniques for a Random Data
Firstly 64x64 size random data generated. To interpolate
this data we eliminate half of the columns so that we have 64x32 size
data. In matlab there are 7 types of
interpolation techniques (Nearest, Linear, Spline, Pchip, Cubic, V5cubic and
FT). We applied all techniques one by one and found MSE (Mean Square Error)
