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Autor(en): 
  • Prasad Lakshman
  • Iyengar S. Sitharama
  • Wavelet Analysis with Applications to Image Processing 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Juni 1997  
    Genre:  Schulbücher 
     
    Bessel’s Inequality / Borel set / Cauchy sequence / Complete Orthonormal System / COMPUTERS / Computer Science / COMPUTERS / Optical Data Processing / Countable Sets / Dense Subset
    ISBN:  9780849331695 
    EAN-Code: 
    9780849331695 
    Verlag:  Taylor and Francis 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 234 mm / B 156 mm / D  
    Gewicht:  612 gr 
    Seiten:  304 
    Illustration:  Raster,schwarz-weiss 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Wavelet analysis is among the newest additions to the arsenals of mathematicians, scientists, and engineers, and offers common solutions to diverse problems. However, students and professionals in some areas of engineering and science, intimidated by the mathematical background necessary to explore this subject, have been unable to use this powerful tool. The first book on the topic for readers with minimal mathematical backgrounds, Wavelet Analysis with Applications to Image Processing provides a thorough introduction to wavelets with applications in image processing. Unlike most other works on this subject, which are often collections of papers or research advances, this book offers students and researchers without an extensive math background a step-by-step introduction to the power of wavelet transforms and applications to image processing. The first four chapters introduce the basic topics of analysis that are vital to understanding the mathematics of wavelet transforms. Subsequent chapters build on the information presented earlier to cover the major themes of wavelet analysis and its applications to image processing. This is an ideal introduction to the subject for students, and a valuable reference guide for professionals working in image processing.

      



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