An overview of Independent Component Analysis

1. What is ICA ? Independent Component Analysis is a technique of separating signals from their linear mixes. We could assume two signals and that are a linear combination of two signals source and , the relationships of and are shown in the following system of linear equations where , , and are the parameters determining the mixing of the signals. These parameters( ) are not known, so the...

Separation of Image Mixture using FastICA

Image separation of mixed and overlapped images is a frequent problem in computer vision (image processing). The following Matlab source code is a demonstration of image separation using FastICA algorithm based on kurtosis. clc;clear all;close all; original_image1=imread ('input1.jpg'); original_image2=imread ('input2.jpg'); figure() subplot(3,3,1),imshow(original_image1),title('Original Source...

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