Spline and spline wavelet methods with applications to signal and image processing. Volume I, Periodic splines / Amir Z. Averbuch, Pekka Neittaanmaki, Valery A Zheludev.
2014
QA403.3
Linked e-resources
Linked Resource
Online Access
Details
Title
Spline and spline wavelet methods with applications to signal and image processing. Volume I, Periodic splines / Amir Z. Averbuch, Pekka Neittaanmaki, Valery A Zheludev.
Author
Averbuch, Amir Z., author.
ISBN
9789401789257
9401789258
9789401789264 electronic book
9401789266 electronic book
9401789258
9789401789264 electronic book
9401789266 electronic book
Published
Dordrecht ; New York : Springer, 2014.
Language
English
Description
1 online resource
Call Number
QA403.3
Dewey Decimal Classification
515.2433
Summary
This volume provides universal methodologies accompanied by Matlab software to manipulate numerous signal and image processing applications. It is done with discrete and polynomial periodic splines. Various contributions of splines to signal and image processing from a unified perspective are presented. This presentation is based on Zak transform and on Spline Harmonic Analysis (SHA) methodology. SHA combines approximation capabilities of splines with the computational efficiency of the Fast Fourier transform. SHA reduces the design of different spline types such as splines, spline wavelets (SW), wavelet frames (SWF) and wavelet packets (SWP) and their manipulations by simple operations. Digital filters, produced by wavelets design process, give birth to subdivision schemes. Subdivision schemes enable to perform fast explicit computation of splines' values at dyadic and triadic rational points. This is used for signals and images upsampling. In addition to the design of a diverse library of splines, SW, SWP and SWF, this book describes their applications to practical problems. The applications include upsampling, image denoising, recovery from blurred images, hydro-acoustic target detection, to name a few. The SWF are utilized for image restoration that were degraded by noise, blurring and loss of significant number of pixels. The book is accompanied by a Matlab based software that demonstrates and implements all the presented algorithms. The book combines extensive theoretical exposure with detailed description of algorithms, applications and software. The Matlab software can be downloaded from http://extras.springer.com.
Access Note
Access limited to authorized users.
Source of Description
Description based on print version record.
Available in Other Form
Spline and Spline Wavelet Methods With Applications to Signal and Image Processing
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources