Novel Diffusion-Based Models for Image Restoration and Interpolation

  • Tudor┬áBarbu

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

Table of contents

  1. Front Matter
    Pages i-viii
  2. Tudor Barbu
    Pages 1-6
  3. Tudor Barbu
    Pages 123-126

About this book


This book covers two essential PDE-based image processing fields: image denoising and image inpainting. It describes the state-of-the-art PDE-based image restoration and interpolation (inpainting) techniques, focusing on the latest advances in PDE-based image processing and analysis, and explores novel techniques involving diffusion-based models and variational schemes. The PDE and variational schemes clearly outperform the conventional approaches in these areas, and can successfully remove image noise and reconstruct missing or highly degraded regions, while preserving the essential features and avoiding unintended effects. The book addresses researchers and graduate students, but is also well suited for professionals in both the mathematics and electrical engineering domains, as it provides rigorous mathematical investigations of the image processing models described, as well as mathematical treatments for the numerical approximation schemes of these differential models.   


Image processing and analysis Computer Vision Partial Differential Equations Image Denoising and Restoration Nonlinear Diffusion-based Models Image Understanding PDE-based image processing Image inpainting Interpolation techniques

Authors and affiliations

  • Tudor┬áBarbu
    • 1
  1. 1.Institute of Computer Science Romanian AcademyIasiRomania

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-93005-3
  • Online ISBN 978-3-319-93006-0
  • Series Print ISSN 1860-4862
  • Series Online ISSN 1860-4870
  • Buy this book on publisher's site