FUNDAMENTALS OF DIGITAL IMAGE PROCESSING (English) 2nd Edition by Anil K. Jain
Anil K. Jain’s Fundamentals of Digital Image Processing, published by Prentice Hall, is a comprehensive book for Computer Science Engineering students who have opted the subject as an elective. It comprises of chapters that discuss concepts like Two-dimensional Systems and Mathematical Preliminaries, Image Perception, Image Sampling and Quantization, Image Transforms, Image Representation by Stochastic Models, Image Enhancement, Image Filtering and Restoration, Image Analysis and Computer Vision, Image Reconstruction from Projections and Image Data Compression. It consists of the fundamentals in representation, processing, techniques and communication in Digital Image Processing. Algorithmic Development for image transforms, reconstruction, enhancement and image coding are also detailed. Apart from explaining the necessary mathematical tools, the book also explains various features of image representation such as colour, luminance, special and temporal properties, vision and digitization.
Anil K. Jain’s Fundamentals of Digital Image Processing, published by Prentice Hall, is a comprehensive book for Computer Science Engineering students who have opted the subject as an elective. It comprises of chapters that discuss concepts like Two-dimensional Systems and Mathematical Preliminaries, Image Perception, Image Sampling and Quantization, Image Transforms, Image Representation by Stochastic Models, Image Enhancement, Image Filtering and Restoration, Image Analysis and Computer Vision, Image Reconstruction from Projections and Image Data Compression. It consists of the fundamentals in representation, processing, techniques and communication in Digital Image Processing. Algorithmic Development for image transforms, reconstruction, enhancement and image coding are also detailed. Apart from explaining the necessary mathematical tools, the book also explains various features of image representation such as colour, luminance, special and temporal properties, vision and digitization.
Table of Contents
Preface
Acknowledgements
Introduction
Two Dimensional Systems and Mathematical Preliminaries
Image Perception
Image Sampling and Quantization
Image Transforms
Image Representation by Stochastic Models
Image Enhancement
Image Filtering and Restoration
Image Analysis and Computer Vision
Image Reconstruction from Projections
Image Data Compression
Index
Acknowledgements
Introduction
Two Dimensional Systems and Mathematical Preliminaries
Image Perception
Image Sampling and Quantization
Image Transforms
Image Representation by Stochastic Models
Image Enhancement
Image Filtering and Restoration
Image Analysis and Computer Vision
Image Reconstruction from Projections
Image Data Compression
Index
Thanku sir
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