Data Management and Internet Computing for Image/Pattern Analysis / Edition 1

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"Data Management and Internet Computing for Image/Pattern Analysis focuses on the data management issues and Internet computing aspect of image processing and pattern recognition research. The book presents a comprehensive overview of the state of the art, providing detailed case studies that emphasize how image and pattern (IAP) data are distributed and exchanged on sequential and parallel machines, and how the data communication patterns in low- and higher-level IAP computing differ from general numerical computation, what problems they cause and what opportunities they provide. The studies also describe how the images and matrices should be stored, accessed and distributed on different types of machines connected to the Internet, and how Internet resource sharing and data transmission change traditional IAP computing." Data Management and Internet Computing for Image/Pattern Analysis is an excellent reference for researchers and may be used as a text for advanced courses in image processing and pattern recognition.
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Product Details

Table of Contents

1 Overview 1
Pt. I Software Management: Models & Algorithms
2 Issues of Data Management 15
3 Typical PRIP Algorithms and IAP Data Management 33
4 Neural Evolution Model for Gray Level Image Restoration 63
5 Partial Fractal Model for Hybird Image Coding 77
6 Best Neighborhood Madle for Block-Based Image Coding 97
7 Impulse Noise Removal Algorithms for IAP 115
Pt. III Hardware Management: Architectures & Resource Sharing
8 Internet Resource Sharing 133
9 Parallel Processing for Image Restoration 151
10 Image Storage Management on Parallel Computers 167
11 Data Management for Sequential Computer Systems 195
12 Permutation Routing for Interconnection Network 221
Pt. III Typical Examples: Applications & Implementations
13 Compression Coding for IAP Data 265
14 Reduction of Blocking Effects and Removal of Impulse Noise 297
15 Image Restoration from Internet Transmission Corruption 317
16 Encryption Coding for IAP Data 331
Index 361
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