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.
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