__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 divided into three parts: the first part describes several software approaches to IAP computing, citing several representative data communication patterns and related algorithms; the second part introduces hardware and Internet resource sharing in which a wide range of computer architectures are described and memory management issues are discussed; and the third part presents applications ranging from image coding, restoration and progressive transmission. __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. "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."--BOOK JACKET. Front Matter....Pages i-xvi Overview....Pages 1-13 Issues of Data Management....Pages 15-31 Typical PRIP Algorithms and IAP Data Management....Pages 33-61 Neural Evolution Model for Gray Level Image Restoration....Pages 63-75 Partial Fractal Model for Hybird Image Coding....Pages 77-95 Best Neighborhood Model for Block-Based Image Coding....Pages 97-113 Impulse Noise Removal Algorithms for IAP....Pages 115-132 Internet Resource Sharing....Pages 133-149 Parallel Processing for Image Restoration....Pages 151-165 Image Storage Management on Parallel Computers....Pages 167-194 Data Management for Sequential Computer Systems....Pages 195-220 Permutation Routing for Interconnection Network....Pages 221-263 Compression Coding for IAP Data....Pages 265-296 Reduction of Blocking Effects and Removal of Impulse Noise....Pages 297-315 Image Restoration from Internet Transmission Corruption....Pages 317-329 Encryption Coding for IAP Data....Pages 331-359 Back Matter....Pages 361-367
