Adaptive image processing : a computational intelligence perspective /: a computational intelligence perspective. (©2002)
- Record Type:
- Book
- Title:
- Adaptive image processing : a computational intelligence perspective /: a computational intelligence perspective. (©2002)
- Main Title:
- Adaptive image processing : a computational intelligence perspective
- Further Information:
- Note: Stuart William Perry, Hau-San Wong, Ling Guan.
- Other Names:
- Perry, Stuart William
Wong, Hau-San
Guan, Ling - Contents:
- PREFACE; ; INTRODUCTION; The Importance of Vision; Adaptive Image Processing; The Three Main Image Feature Classes; Difficulties in Adaptive Image Processing System Design; Computational Intelligence Techniques; Scope of the Book; Contributions of the Current Work; Overview of this Book; ; FUNDAMENTALS OF NEURAL NETWORK IMAGE RESTORATION; Image Distortions; Image Restoration; Neural Network Restoration Algorithms in the Literature; An Improved Algorithm; Analysis; Implementation Considerations; A Numerical Study of the Algorithms; Summary; ; SPATIALLY ADAPTIVE IMAGE RESTORATION; Introduction; Dealing with Spatially Variant Distortion; Adaptive Constraint Extension of the Penalty Function Model; Correcting Spatially Variant Distortion Using Adaptive Constraints; Semi-Blind Restoration Using Adaptive Constraints; Implementation Considerations; More Numerical Examples; Adaptive Constraint Extension of the Lagrange Model; Summary; ; PERCEPTUALLY MOTIVATED IMAGE RESTORATION; Introduction; Motivation; A LVMSE-Based Cost Function; A Log LVMSE-Based Cost Function; Implementation Considerations; Numerical Examples; Summary; ; MODEL-BASED ADAPTIVE IMAGE RESTORATION; Model-Based Neural Network; Hierarchical Neural Network Architecture; Model-Based Neural Network with Hierarchical Architecture (HMBNN); HMBNN for Adaptive Image Processing; The Hopfield Neural Network Model for Image Restoration; Adaptive Regularization - An Alternative Formulation; Regional Training Set Definition;PREFACE; ; INTRODUCTION; The Importance of Vision; Adaptive Image Processing; The Three Main Image Feature Classes; Difficulties in Adaptive Image Processing System Design; Computational Intelligence Techniques; Scope of the Book; Contributions of the Current Work; Overview of this Book; ; FUNDAMENTALS OF NEURAL NETWORK IMAGE RESTORATION; Image Distortions; Image Restoration; Neural Network Restoration Algorithms in the Literature; An Improved Algorithm; Analysis; Implementation Considerations; A Numerical Study of the Algorithms; Summary; ; SPATIALLY ADAPTIVE IMAGE RESTORATION; Introduction; Dealing with Spatially Variant Distortion; Adaptive Constraint Extension of the Penalty Function Model; Correcting Spatially Variant Distortion Using Adaptive Constraints; Semi-Blind Restoration Using Adaptive Constraints; Implementation Considerations; More Numerical Examples; Adaptive Constraint Extension of the Lagrange Model; Summary; ; PERCEPTUALLY MOTIVATED IMAGE RESTORATION; Introduction; Motivation; A LVMSE-Based Cost Function; A Log LVMSE-Based Cost Function; Implementation Considerations; Numerical Examples; Summary; ; MODEL-BASED ADAPTIVE IMAGE RESTORATION; Model-Based Neural Network; Hierarchical Neural Network Architecture; Model-Based Neural Network with Hierarchical Architecture (HMBNN); HMBNN for Adaptive Image Processing; The Hopfield Neural Network Model for Image Restoration; Adaptive Regularization - An Alternative Formulation; Regional Training Set Definition; Determination of the Image Partition; The Edge-Texture Characterization (ETC) Measure; The ETC Fuzzy HMBNN for Adaptive Regularization; Theory of Fuzzy Sets; Edge-Texture Fuzzy Model Based on ETC Measure; Architecture of the Fuzzy HMBNN; Estimation of the Desired Network Output; Fuzzy Prediction of Desired Gray Level Value; Experimental Results; Conclusion; ; ADAPTIVE IMAGE REGULARIZATION USING EVOLUTIONARY COMPUTATION; Introduction; Introduction to Evolutionary Computation; The ETC-pdf Image Model; Adaptive Regularization Using Evolutionary Programming; Experimental Results; Other Evolutionary Approaches for Image Restoration; Summary; ; BLIND IMAGE DECONVOLUTION; Introduction; Computational Reinforced Learning; Soft-Decision Method; Simulation Examples; Conclusions; ; EDGE CHARACTERIZATION USING MODEL-BASED NEURAL NETWORKS; Introduction; MBNN Model for Edge Characterization; Network Architecture; Training Stage; Recognition State; Experimental Results; Summary … (more)
- Publisher Details:
- Boca Raton, Fla : CRC Press
- Publication Date:
- 2002
- Copyright Date:
- 2002
- Extent:
- 1 online resource (x, 272 pages), illustrations
- Subjects:
- 006.6
Image processing -- Data processing
Image processing -- Digital techniques
Computational intelligence
Self-organizing systems
COMPUTERS -- Image Processing
PHOTOGRAPHY -- Techniques -- Digital
TECHNOLOGY & ENGINEERING -- Imaging Systems
COMPUTERS -- Digital Media -- Graphics Applications
Computational intelligence
Image processing -- Data processing
Image processing -- Digital techniques
Self-organizing systems
Electronic books - Languages:
- English
- ISBNs:
- 0849302838
9780849302831
1420042262
9781420042269 - Notes:
- Note: Includes bibliographical references (pages 253-264) and index.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.160498
- Ingest File:
- 01_012.xml