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Autor(en): 
  • Pekka Neittaanmaki
  • Amir Z. Averbuch
  • Valery A. Zheludev
  • Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume I: Periodic Splines 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  April 2014  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Computational Mathematics and Numerical Analysis / Computer Imaging, Vision, Pattern Recognition and Graphics / Computer mathematics / Computer Vision / engineering / Frames;Images;Signals;Splines;Wavelets / Image processing / Numerical analysis / Optical data processing / Signal Processing / Signal, Image and Speech Processing / Signal, Speech and Image Processing / Speech processing systems
    ISBN:  9789401789257 
    EAN-Code: 
    9789401789257 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  9994 gr 
    Seiten:  496 
    Illustration:  XXV, 496 p. 185 illus., 128 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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

      



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