Novel diffusion-based models for image restoration and interpolation /

Saved in:
Bibliographic Details
Author / Creator:Barbu, Tudor, author.
Imprint:Cham, Switzerland : Springer, [2019]
Description:1 online resource (viii, 126 pages) : illustrations (some color)
Language:English
Series:Signals and communication technology, 1860-4862
Signals and communication technology,
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11745364
Hidden Bibliographic Details
ISBN:9783319930060
3319930060
9783319930053
3319930052
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed July 16, 2018).
Summary: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.
Other form:Print version: Barbu, Tudor. Novel diffusion-based models for image restoration and interpolation. Cham, Switzerland : Springer, [2019] 3319930052 9783319930053
Standard no.:10.1007/978-3-319-93006-0