Wiley.-.Digital.Image.Interpolation.In.Matlab.2019.Retail.EPUB.eBook-BitBook

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 ■▀▀▀   ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀  ░ BitBook Presents ░  ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀■

                     Digital Image Interpolation In Matlab                      
                         by Chi-Wah Kok, Wing-Shan Tam                          
                              (p)John Wiley & Sons                              

 ■▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄   ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄   ▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄▄■
                        ▀▄▀                          ▀▄▀
   DATE: 01-02-2021      ▓   SIZE: 27.39 MB           ▓   PAGES: n/a           
   FORMAT: EPUB          ▒   DISKS: 1x50.00MB         ▒   EDITION: n/a          
   LANGUAGE: English     ░   ISBN: 9781119119616      ░   REMOVED: DRM

                              https://is.gd/wCQjTT                              

 ■▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀■

  This book provides a comprehensive study in digital image interpolation
 with theoretical, analytical and Matlab(r) implementation. It includes all
 historically and practically important interpolation algorithms,
 accompanied with Matlab(r) source code on a website, which will assist
 readers to learn and understand the implementation details of each
 presented interpolation algorithm. Furthermore, sections in fundamental
 signal processing theories and image quality models are also included. The
 authors intend for the book to help readers develop a thorough
 consideration of the design of image interpolation algorithms and
 applications for their future research in the field of digital image
 processing. Introduces a wide range of traditional and advanced image
 interpolation methods concisely and provides thorough treatment of
 theoretical foundations Discusses in detail the assumptions and limitations
 of presented algorithms Investigates a variety of interpolation and
 implementation methods including transform domain, edge-directed, wavelet
 and scale-space, and fractal based methods Features simulation results for
 comparative analysis, summaries and computational and analytical exercises
 at the end of each chapter Digital Image Interpolation in Matlab(r) is an
 excellent guide for researchers and engineers working in digital imaging
 and digital video technologies. Graduate students studying digital image
 processing will also benefit from this practical reference text.
 
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