Image processing-from basics to advanced applications
Learn how to master image processing and compression with this
outstanding state-of-the-art reference. From fundamentals to
sophisticated applications, Image Processing: Principles and
Applications covers multiple topics and provides a fresh
perspective on future directions and innovations in the field,
including:
* Image transformation techniques, including wavelet transformation
and developments
* Image enhancement and restoration, including noise modeling and
filtering
* Segmentation schemes, and classification and recognition of
objects
* Texture and shape analysis techniques
* Fuzzy set theoretical approaches in image processing, neural
networks, etc.
* Content-based image retrieval and image mining
* Biomedical image analysis and interpretation, including biometric
algorithms such as face recognition and signature
verification
* Remotely sensed images and their applications
* Principles and applications of dynamic scene analysis and moving
object detection and tracking
* Fundamentals of image compression, including the JPEG standard
and the new JPEG2000 standard
Additional features include problems and solutions with each
chapter to help you apply the theory and techniques, as well as
bibliographies for researching specialized topics. With its
extensive use of examples and illustrative figures, this is a
superior title for students and practitioners in computer science,
wireless and multimedia communications, and engineering.
Autorentext
TINKU ACHARYA, PhD, is Chief Technology Officer, Avisere, Inc., Tucson, Arizona. Dr. Acharya is also Adjunct Professor, Department of Electrical Engineering, Arizona State University. He is the inventor of ninety-seven awarded U.S. and European patents and coauthor of Data Mining: Multimedia, Soft Computing, and Bioinformatics (Wiley), Information Technology, and JPEG2000 Standard for Image Compression: Concepts, Algorithms, and VLSI Architectures (Wiley).
AJOY K. RAY, PhD, is Senior Corporate Research Scientist, Avisere, Inc., Arizona, and a Professor of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur. A distinguished teacher with twenty-five years of experience, Professor Ray has coauthored two other books, Advanced Microprocessors and Peripherals and Information Technology: Principles and Applications. In addition, he has published extensively in international journals.
Klappentext
Image processing—from basics to advanced applications
Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including:
- Image transformation techniques, including wavelet transformation and developments
- Image enhancement and restoration, including noise modeling and filtering
- Segmentation schemes, and classification and recognition of objects
- Texture and shape analysis techniques
- Fuzzy set theoretical approaches in image processing, neural networks, etc.
- Content-based image retrieval and image mining
- Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification
- Remotely sensed images and their applications
- Principles and applications of dynamic scene analysis and moving object detection and tracking
- Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard
Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.
Zusammenfassung
Image processing-from basics to advanced applications
Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including:
* Image transformation techniques, including wavelet transformation and developments
* Image enhancement and restoration, including noise modeling and filtering
* Segmentation schemes, and classification and recognition of objects
* Texture and shape analysis techniques
* Fuzzy set theoretical approaches in image processing, neural networks, etc.
* Content-based image retrieval and image mining
* Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification
* Remotely sensed images and their applications
* Principles and applications of dynamic scene analysis and moving object detection and tracking
* Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard
Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.
Inhalt
Preface.
1. Introduction.
1.1 Fundamentals of Image Processing.
1.2 Applications of Image Processing.
1.2.1 Automatic visual inspection system.
1.2.2 Remotely sensed scene interpretation.
1.2.3 Biomedical Imaging Techniques.
1.2.4 Defence surveillance.
1.2.5 Moving Object tracking.
1.3 Human Visual Perception.
1.3.1 Eyes detect motion.
1.3.2 Structure of Eyes.
1.3.3 Nervous Aspects of the Visual Sense.
1.3.4 Intuitionistic Philosophy.
1.3.5 Gray and Color Perception.
1.4 Components of an Image Processing System.
1.4.1 Digital Camera.
1.4.2 Capturing Colors.
1.5 Organization of this book.
1.6 How is this book different ? 16.
1.7 Summary 17.
References 17.
2. Image Formation and Representation.
2.1 Introduction.
2.2 Image formation.
2.2.1 Illumination.
2.2.2 Reflectance Models.
2.3 Sampling and Quantization.
2.3.1 Image Quantization.
2.4 Binary Image.
2.4.1 Geometric properties.
2.5 Connected component labeling.
2.5.1 Three Dimensional imaging.
2.5.2 Stereo images.
2.5.3 Point Spread Function.
2.6 Image fled formats.
2.7 Some Important Notes.
2.8 Types of Image Processing Operations.
2.9 Summary.
References.
3. Color and Color Imagery.
3.1 Introduction.
3.2 Perception of Colors and Spectral sensitivity of human eyes.
3.3 Color Space Quantization and the Just Noticeable Difference.
(JND).
3.3.1 Need for color spaces.
3.4 Color Space and Transformation.
3.4.1 CMYK space.
3.4.2 NTSC or YIQ color space.
3.4.3 Y CbCr color space.
3.4.4 Perceptually uniform color space.
3.4.5 Need for perceptually uniform color space.
3.4.6 CIELAB color Space.
3.5 Color Interpolation or Demosaicing.
3.5.1 Non-adaptive color interpolation algo…