EJMT Abstract

Our purpose is to bring in the singular value descomposition of a matrix (SVD) to a broad audience, showing that it provides a wide amount of interesting information about the matrix. Moreover, we show that the SVD is an efficient computational platform in applications in digital image processing such as image watermarking, image compression or image restoration.