Classical Signal Processing
Technique

Compression, K-Means, CV2

INTRO

Vector quantisation is a natural application of kmeans

It works by dividing a large set of points (vectors) into groups having approximately the same number of points closest to them. Each group is represented by its centroid point, as in k-means.

APPLICATIONS : GAN , DATA COMPRESSION

K-MEANS Algo where no of cluster will be decided on the basis of compression ratio given by user.

Input

Compressed Image