【新书】数字图像(影像)处理手第二版，2176pdf，Mathematical Methods in Imaging

《影像数学方法手册》对成像科学中使用的数学技术进行了全面的论述。材料分为两个中心主题，即逆问题(算法重建)和信号和图像处理。主题中的每个部分包括应用程序(建模)、数学、数值方法(使用案例示例)和开放问题。由该领域的专家撰写的报告在数学上是严谨的。

这个扩展和修订的第二版包含了对现有章节的更新和16个重要的数学方法，如图形切割，形态学，离散几何，偏微分方程，保形方法，等等。这些条目是交叉引用的，以便通过连接的主题轻松导航。该手册有印刷和电子两种形式，增加了200多幅插图和扩展的参考书目。

它将使应用数学的学生、科学家和研究人员受益。从事成像工作的工程师和计算机科学家也会发现这本手册很有用。

目录：

• Linear Inverse Problems
• Large-Scale Inverse Problems in Imaging
• Regularization Methods for Ill-Posed Problems
• Distance Measures and Applications to Multi-Modal Variational Imaging
• Energy Minimization Methods
• Compressive Sensing
• Duality and Convex Programming
• EM Algorithms
• Iterative Solution Methods
• Level Set Methods for Structural Inversion and Image Reconstruction
• Expansion Methods
• Sampling Methods
• Inverse Scattering
• Electrical Impedance Tomography
• Synthetic Aperture Radar Imaging
• Tomography
• Optical Imaging
• Photoacoustic and Thermoacoustic Tomography: Image Formation Principles
• Mathematics of Photoacoustic and Thermoacoustic Tomography
• Wave Phenomena
• Statistical Methods in Imaging
• Supervised Learning by Support Vector Machines
• Total Variation in Imaging
• Numerical Methods and Applications in Total Variation Image Restoration
• Mumford and Shah Model and its Applications to Image Segmentation andImage - - Restoration
• Local Smoothing Neighborhood Filters
• Neighborhood Filters and the Recovery of 3D Information
• Splines and Multiresolution Analysis
• Gabor Analysis for Imaging
• Shape Spaces
• Variational Methods in Shape Analysis
• Manifold Intrinsic Similarity
• Image Segmentation with Shape Priors: Explicit Versus Implicit - Representations
• Starlet Transform in Astronomical Data Processing
• Differential Methods for Multi-Dimensional Visual Data Analysis