消息首页搜索举报

成像中的变分法

全新正版现货

44.5 7.5折 59 全新

仅1件

四川成都

认证卖家担保交易快速发货售后保障

作者（奥）斯科泽　著

出版社世界图书出版公司

ISBN9787510058424

出版时间2013-03

装帧平装

开本24开

纸张胶版纸

定价59元

货号23289366

上书时间2023-10-16

天涯淘书阁

五年老店

已实名已认证进店收藏店铺

在售商品暂无
平均发货时间 21小时
好评率暂无

最新上架

淘宝网开店从零开始一本通第2版 ¥46.60

智慧物流与电子商务 ¥39.30

移动商务概论 ¥32.80

互联网经济下的商业模式及其创新研究 ¥17.50

微信公众平台运营一本通：图文颜值美化＋吸粉引流方法＋赚钱赢利技巧 ¥39.30

创业金融：理论与实践 ¥55.60

开一家赚钱的鲜花店 ¥20.50

中国创业观察 ¥68.60

对话：与新生代员工相处之道 ¥27.30

商品详情

品相描述：全新: 正版全新

商品描述

【目录】:

Part I Fundamentals of Imagmg

1 Case Examples of Imaging

1.1 Denoising

1.2 Chopping and Nodding

1.3 Image Inpainting

1.4 X-ray-Based Computerized Tomography

1.5 Thermoacoustic Computerzed Tomography

1.6 Schlieren Tomography

2 Image and Noise Models

2.1 Basic Concepts of Statistics

2.2 Digitzed （Discrete） Images

2.3 Noise Models

2.4 Priors for Images

2.5 Maximum A Posteriori Estimation

2.6 MAP Rstimation for Noisy Images

Part II Regularization

3 Variational R,egularzation Methods for the Solution of InverseProblems

3.1 Quadratic Tikhonov R;egularization in Hilbert Spaces

3.2 Variational R,egularization Methods in Banach Spaces

3.3 Regularization with Sparsity Constraints

3.4 Linear Inverse Problems with Convex Constraints

3.5 Schlieren Tomography.

3.6 Further Literature on Regularization Methods for InverseProblems

4 Convex Regularization Methods for Denoising

4.1 The Number

4.2 Characterization of Minimizers

4.3 One-dimensional Results

4.4 Taut String Algorithm

4.5 Mumford-Shah Regularization

4.6 Recent Topics on Denoising with Variational Methods

5 Variational Calculus for Non-convex R,egularization

5.1 Direct Methods

5.2 Relaxation on Sobolev Spaces

5.3 Relaxation on BV

5.4 Applications in Non-convex Regularization

5.5 One-dimensional Results

5.6 Examples

6 Serru-group Theory and Scale Spaces

6.1 Linear Semi-group Theory

6.2 Non-linear Semi-groups in Hilbert Spaces

6.3 Non-Iinear Semi-groups in Banach Spaces

6.4 Axiomatic Approach to Scale Spaces

6.5 Evolution by Non-convex Energy Functionals

6.6 Enhancing

7 Inverse Scale Spaces

7.1 Iterative Tikhonov Regularization

7.2 Iterative Regularization with Bregman Distances

7.3Recent Topics on Evolutionary Equations for InverseProblems

Part III Mathematical Foundations

8 Functional Analysis

8.1 General Topology

8.2 Locally Convex Spaces

8.3 Bounded Linear Operators and Functionals

8.4 Linear Operators in Hilbert Spaces

8.5 Weak and Weak Topologies

8.6 Spaces of Differentiable Functions

9 Weakly Differentiable Functions

9.1 Measure and Integration Theory

9.2 Distributions and Distributional Derivatives

9.3 Geometrical Properties of Functions and Domains

9.4 Sobolev Spaces

10 Convex Analysis and Calculus of Variations

References

Nomenclature

Index

【内容简介】:

　　Imagmg is an interdisciplinary research area with profoundapplications in many areas of science， engineering， technology， andmedicine. The most primitrve form of imaging is visual in，spection，which has dominated the area before the technical and computerrevolution era. Today， computer imaging covers various aspects ofdata tiltering， pattern recognition， feature extraction.， co'mputeraided mspection， and medical diagnosis. The above mentioned areasare treated in different scientific communities such as Imagin，g，In，verse Problems， Computer Vision， Signal and Image Processing，…，but all share the common thread of recovery of an object or one ofits properties.

— 没有更多了 —