Anisotropic diffusion in image processing pdf epub mobi txt 電子書 下載2025
- 圖像處理
- 各嚮異性偏微分方程
- 物理
- 數學
- 圖像處理
- 各嚮異性擴散
- 圖像去噪
- 邊緣保持
- 偏微分方程
- 數值方法
- 計算機視覺
- 圖像分析
- 醫學圖像
- 圖像增強
具體描述
Many recent techniques for digital image enhancement and multiscale image representations are based on nonlinear partial differential equations (PDEs).
This book gives an introduction to the main ideas behind these methods, and it describes in a systematic way their theoretical foundations, numerical aspects, and applications. A large number of references enables the reader to acquire an up-to-date overview of the original literature.
The central emphasis is on anisotropic nonlinear diffusion filters. Their flexibility allows to combine smoothing properties with image enhancement qualities. A general framework is explored covering well-posedness and scale-space results not only for the continuous, but also for the algorithmically important semidiscrete and fully discrete settings. The presented examples range from applications in medical image analysis to problems in computer aided quality control.
著者簡介
Joachim Weickert is a German professor of mathematics and computer science at Saarland University. In 2010, Weickert won the Gottfried Wilhelm Leibniz Prize for his work in image processing.[1][2]
Weickert did his undergraduate studies at the University of Kaiserslautern and then stayed there as a graduate student, earning his doctorate in mathematics in 1996 under the supervision of Helmut Neunzert; his dissertation was entitled Anisotropic diffusion in image processing.[3] After taking postdoctoral research positions at the University of Utrecht and the University of Copenhagen, he became an assistant professor at the University of Mannheim, and earned a habilitation degree there in 2001. In 2002, he took a faculty position as a full professor at Saarland University.[4]
圖書目錄
Image Smoothing and Restoration by PDEs
Physical Background of Diffusion Processes
Linear Diffusion Filtering
Nonlinear Diffusion Filtering
Methods of Diffusion-Reaction Type
Classic Morphological Processes
Curvature-Based Morphological Processes
Total Variation Methods
Conclusions and Further Scope of the Book
Continuous Diffusion Filtering
General Model
The Structure Tensor
Theoretical Results
Scale-Space Properties
Semidiscrete Diffusion Filtering
General Model
Theoretical Results
Scale-Space Properties
Relation to Semidiscrete Models
Discrete Diffusion Filtering
General Model
Theoretical Results
Scale-Space Properties
Relation to Semidiscrete Models
Examples and Applications
Edge-Enhancing Diffusion
Coherence-Enhancing Diffusion
Conclusions and Perspectives
Bibliography (453 references)
Index (about 500 entries)
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