Comparison of Singular Value Decomposition, Principle Component Analysis, Independent Component Analysis for an Image
Source: Kurukshetra University
It is well known that the images, often used in variety of computer applications, are difficult to store and transmit. One possible solution to overcome this problem is to use a data compression technique where an image is viewed as a matrix and then the operations are performed on the matrix. Image compression is achieved by using Singular Value Decomposition (SVD) technique on the image matrix. PCA has been widely applied in the area of image compression in various forms.