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Multiscale Transforms with Application to Image Processing

  • Aparna Vyas
  • Soohwan Yu
  • Joonki Paik

Part of the Signals and Communication Technology book series (SCT)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Introduction to Image Processing

    1. Front Matter
      Pages 1-1
    2. Aparna Vyas, Soohwan Yu, Joonki Paik
      Pages 3-11
  3. Multiscale Transform

    1. Front Matter
      Pages 13-13
    2. Aparna Vyas, Soohwan Yu, Joonki Paik
      Pages 15-43
    3. Aparna Vyas, Soohwan Yu, Joonki Paik
      Pages 45-92
    4. Aparna Vyas, Soohwan Yu, Joonki Paik
      Pages 93-129
  4. Application of Multiscale Transforms to Image Processing

    1. Front Matter
      Pages 131-131
    2. Aparna Vyas, Soohwan Yu, Joonki Paik
      Pages 133-198
    3. Aparna Vyas, Soohwan Yu, Joonki Paik
      Pages 199-231
  5. Back Matter
    Pages 233-254

About this book

Introduction

This book provides an introduction to image processing, an overview of the transforms which are most widely used in the field of image processing, and an introduction to the application of multiscale transforms in image processing.  

The book is divided into three parts, with the first part offering the reader a basic introduction to image processing. The second part of the book starts with a chapter on Fourier analysis and Fourier transforms, wavelet analysis, and ends with a chapter on new multiscale transforms. The final part of the book deals with all of the most important applications of multiscale transforms in image processing. 

The chapters consist of both tutorial and highly advanced material, and as such the book is intended to be a reference text for graduate students and researchers to obtain state-of-the-art knowledge on specific applications. The technique of solving problems in the transform domain is common in applied mathematics and widely used in research and industry, but is a somewhat neglected subject within the undergraduate curriculum. It is hoped that faculty can use this book to create a course that can be offered early in the curriculum and fill this void. Also, the book is intended to be used as a reference manual for scientists who are engaged in image processing research, developers of image processing hardware and software systems, and practising engineers and scientists who use image processing as a tool in their applications.

Keywords

Multiscale Transform Digital Image Processing Image compression and Denoising Image restoration and enhancement Fourier Analysis and Transform Heisenberg Uncertainty Principle 1D and 2D Short-Time Fourier Transform Wavelet Transform Multiscale Constructions Image Segmentation

Authors and affiliations

  • Aparna Vyas
    • 1
  • Soohwan Yu
    • 2
  • Joonki Paik
    • 3
  1. 1.Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and FilmChung-Ang UniversitySeoulKorea (Republic of)
  2. 2.Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and FilmChung-Ang UniversitySeoulKorea (Republic of)
  3. 3.Image Processing and Intelligent Systems Laboratory, Graduate School of Advanced Imaging Science, Multimedia and FilmChung-Ang UniversitySeoulKorea (Republic of)

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-10-7272-7
  • Copyright Information Springer Nature Singapore Pte Ltd. 2018
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-7271-0
  • Online ISBN 978-981-10-7272-7
  • Series Print ISSN 1860-4862
  • Series Online ISSN 1860-4870
  • Buy this book on publisher's site