Spline and Spline Wavelet Methods with Applications to by Amir Z. Averbuch,Pekka Neittaanmaki,Valery A. Zheludev PDF

By Amir Z. Averbuch,Pekka Neittaanmaki,Valery A. Zheludev

ISBN-10: 9401789258

ISBN-13: 9789401789257

ISBN-10: 9402405623

ISBN-13: 9789402405620

This quantity presents common methodologies observed via Matlab software program to control quite a few sign and photograph processing applications. It is completed with discrete and polynomial periodic splines. a variety of contributions of splines to sign and photo processing from a unified viewpoint are offered. This presentation relies on Zak rework and on Spline Harmonic research (SHA) methodology. SHA combines approximation services of splines with the computational potency of the quick Fourier transform. SHA reduces the design of diversified spline forms similar to splines, spline wavelets (SW), wavelet frames (SWF) and wavelet packets (SWP) and their manipulations through basic operations. electronic filters, produced by wavelets design method, supply delivery to subdivision schemes. Subdivision schemes allow to perform fast particular computation of splines' values at dyadic and triadic rational issues. this is often used for signs and images up sampling. additionally to the layout of a various library of splines, SW, SWP and SWF, this ebook describes their applications to practical difficulties. The functions contain up sampling, photograph denoising, recovery from blurred photos, hydro-acoustic goal detection, to call a number of. The SWF are applied for image restoration that was once degraded via noise, blurring and lack of major variety of pixels. The book is followed by Matlab established software program that demonstrates and implements all of the provided algorithms. The e-book combines wide theoretical exposure with precise description of algorithms, functions and software.

The Matlab software program may be downloaded from http://extras.springer.com

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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume I: Periodic Splines: 1 by Amir Z. Averbuch,Pekka Neittaanmaki,Valery A. Zheludev


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