Short description This book takes an "applications first" approach, allowing students to immediately-and easily-learn about applications in the real world of digital signal/image processing. Problems are solved in an ad-hoc manner, which gives way to a more general development model midway through the text. Book highlights include: a chapter on digital images, quantitative/qualitative measures, and encoding; two chapters dedicated to applications; an introduction to the Fourier Series; and detailed development of pseudocode for all wavelet transforms and their inverses.
From the contents Preface
Acknowledgements * Introduction: Why Wavelets * Vectors and Matrices * An Introduction to Digital Images * Complex Numbers and Fourier Series * Convolution and Filters * The Haar Wavelet Transformation * Daubechies Wavelet Transformations * Orthogonality and Fourier Series * Wavelet Shrinkage: An Application to Denoising * Biorthogonal Filters * Computing Biorthogonal Wavelet Transformations * The JPEG2000 Image Compression Standard
