Image restoration : fundamentals and advances
Author(s)
Bibliographic Information
Image restoration : fundamentals and advances
(Digital imaging and computer vision series)
CRC Press, c2013
- : hardback
Available at 4 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago. Providing a broad overview of image restoration, this book explores breakthroughs in related algorithm development and their role in supporting real-world applications associated with various scientific and engineering fields. These include astronomical imaging, photo editing, and medical imaging, to name just a few. The book examines how such advances can also lead to novel insights into the fundamental properties of image sources.
Addressing the many advances in imaging, computing, and communications technologies, this reference strikes just the right balance of coverage between core fundamental principles and the latest developments in this area. Its content was designed based on the idea that the reproducibility of published works on algorithms makes it easier for researchers to build on each other's work, which often benefits the vitality of the technical community as a whole. For that reason, this book is as experimentally reproducible as possible.
Topics covered include:
Image denoising and deblurring
Different image restoration methods and recent advances such as nonlocality and sparsity
Blind restoration under space-varying blur
Super-resolution restoration
Learning-based methods
Multi-spectral and color image restoration
New possibilities using hybrid imaging systems
Many existing references are scattered throughout the literature, and there is a significant gap between the cutting edge in image restoration and what we can learn from standard image processing textbooks. To fill that need but avoid a rehash of the many fine existing books on this subject, this reference focuses on algorithms rather than theories or applications. Giving readers access to a large amount of downloadable source code, the book illustrates fundamental techniques, key ideas developed over the years, and the state of the art in image restoration. It is a valuable resource for readers at all levels of understanding.
Table of Contents
Image Denoising: Past, Present, and Future. Fundamentals of Image Restoration. Restoration in the Presence of Unknown Spatially Varying Blur. Image Denoising and Restoration Based on Nonlocal Means. Sparsity-Regularized Image Restoration: Locality and Convexity Revisited. Resolution Enhancement Using Prior Information. Transform Domain-Based Learning for Super Resolution Restoration. Super Resolution for Multispectral Image Classification. Color Image Restoration Using Vector Filtering Operators. Document Image Restoration and Analysis as Separation of Mixtures of Patterns: From Linear to Nonlinear Models. Correction of Spatially Varying Image and Video Motion Blur Using a Hybrid Camera.
by "Nielsen BookData"