Ebook > Sciences > Engineering / Technics > Electronics, Electrical Engineering, Communications Engineering > Chi-Wah Kok & Wing-Shan Tam: Digital Image Interpolation in Matlab (ePUB)

Chi-Wah Kok & Wing-Shan Tam
Digital Image Interpolation in Matlab

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Cover of Chi-Wah Kok & Wing-Shan Tam: Digital Image Interpolation in Matlab (ePUB)

This book provides a comprehensive study in digital image interpolation with theoretical, analytical and Matlab¯® implementation. It includes all historically and practically important interpolation algorithms, accompanied with Matlab¯® 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¯® 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.

€123.99

About the author

Chi-Wah Kok, Canaan Semiconductor Limited, Hong Kong, China

Wing-Shan Tam, Canaan Semiconductor Limited, Hong Kong, China

Language English ● Format EPUB ● Pages 336 ● ISBN 9781119119647 ● File size 28.7 MB ● Publisher John Wiley & Sons ● Published 2018 ● Downloadable 24 months ● Currency EUR ● ID 6813698 ● Copy protection Adobe DRM

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