Image Restoration: Fundamentals and Advances (Hardcover)

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.

《影像修復：基礎與進展》回應了更新現有大部分關於這個主題的參考資料的需求，其中許多是幾十年前出版的。本書提供了對影像修復的廣泛概述，探討了相關算法發展的突破以及它們在支持與各種科學和工程領域相關的實際應用中的作用。這些應用包括天文影像、照片編輯和醫學影像等。本書還探討了這些進展如何也可以帶來對影像來源基本特性的新見解。

本書針對影像、計算和通信技術的許多進展，恰到好處地平衡了核心基本原理和這一領域最新發展之間的涵蓋範圍。其內容的設計基於一個理念，即算法的可重現性使得研究人員更容易在彼此的工作基礎上進一步發展，這通常有益於整個技術社區的活力。因此，本書盡可能具有實驗可重現性。

涵蓋的主題包括：
- 影像去噪和去模糊
- 不同的影像修復方法和最新進展，如非局部性和稀疏性
- 空間變化模糊下的盲修復
- 超分辨率修復
- 基於學習的方法
- 多光譜和彩色影像修復
- 使用混合成像系統的新可能性

現有的許多參考資料分散在文獻中，影像修復的最前沿與我們從標準影像處理教科書中所能學到的知識之間存在顯著差距。為了填補這一需求，但又避免對這一主題的許多優秀現有書籍進行重複，本書專注於算法而不是理論或應用。通過提供大量可下載的源代碼，本書展示了基本技術、多年來發展的關鍵思想以及影像修復的最新技術。它是一個對所有理解水平的讀者都有價值的資源。