Spline and Spline Wavelet Methods with Applications to Signal and Image Processing Volume II: Non-Periodic Splines /

This book presents various contributions of splines to signal and image processing from a unified perspective that is based on the Zak transform (ZT). It expands the methodology from periodic splines, which were presented in the first volume, to non-periodic splines. Together, these books provide a...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Averbuch, Amir Z. (Autor), Neittaanmäki, Pekka (Autor), Zheludev, Valery A. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Temas:
Signal processing.
Image processing-Digital techniques.
Computer vision.
Mathematics-Data processing.
Signal, Speech and Image Processing .
Computer Imaging, Vision, Pattern Recognition and Graphics.
Computational Mathematics and Numerical Analysis.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Preface.-1 Introduction: Signals and Transforms
  • 2 Introduction: Digital Filters and Filter Banks
  • 3 Mixed Convolutions and Zak Transforms
  • 4 Non-Periodic Polynomial Splines
  • 5 Quasi-Interpolating and Smoothing Local Splines
  • 6 Cubic Local Splines on Non-Uniform Grid
  • 7 Splines Computation by Subdivision
  • 8 Polynomial Spline-Wavelets
  • 9 Non-Periodic Discrete Splines
  • 10 Non-Periodic Discrete-Spline Wavelets
  • 11 Biorthogonal Wavelet Transforms
  • 12 Biorthogonal Wavelet Transforms Originating from Splines
  • 13 Data Compression Using Wavelet and Local Cosine Transforms
  • 14 Wavelet Frames Generated by Perfect Reconstruction Filter Banks
  • 15 Biorthogonal Multiwavelets Originated from Hermite Splines
  • 16 Multiwavelet Frames Originated from Hermite Splines
  • Appendix A - Guide to Spline SoftN
  • Glossary
  • Index.

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