๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Digital Image Processing: A Signal Processing and Algorithmic Approach

โœ Scribed by D. Sundararajan (auth.)


Publisher
Springer Singapore
Year
2017
Tongue
English
Leaves
475
Edition
1
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.

โœฆ Table of Contents


Front Matter ....Pages i-xvii
Introduction (D. Sundararajan)....Pages 1-21
Image Enhancement in the Spatial Domain (D. Sundararajan)....Pages 23-64
Fourier Analysis (D. Sundararajan)....Pages 65-107
Image Enhancement in the Frequency Domain (D. Sundararajan)....Pages 109-141
Image Restoration (D. Sundararajan)....Pages 143-161
Geometric Transformations and Image Registration (D. Sundararajan)....Pages 163-188
Image Reconstruction from Projections (D. Sundararajan)....Pages 189-216
Morphological Image Processing (D. Sundararajan)....Pages 217-256
Edge Detection (D. Sundararajan)....Pages 257-280
Segmentation (D. Sundararajan)....Pages 281-308
Object Description (D. Sundararajan)....Pages 309-344
Object Classification (D. Sundararajan)....Pages 345-362
Image Compression (D. Sundararajan)....Pages 363-405
Color Image Processing (D. Sundararajan)....Pages 407-438
Back Matter ....Pages 439-468

โœฆ Subjects


Image Processing and Computer Vision


๐Ÿ“œ SIMILAR VOLUMES


Information Fusion in Signal and Image P
โœ Isabelle Bloch ๐Ÿ“‚ Library ๐Ÿ“… 2008 ๐Ÿ› Wiley-ISTE ๐ŸŒ English

The area of information fusion has grown considerably during the last few years, leading to a rapid and impressive evolution. In such fast-moving times, it is important to take stock of the changes that have occurred. As such, this books offers an overview of the general principles and specificities

Image Processing Technologies: Algorithm
โœ Kiyoharu Aizawa, Katsuhiko Sakaue, Yasuhito Suenaga ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› CRC Press ๐ŸŒ English

Focuses on recent approaches and techniques in computer vision and image processing (CVIP) applications development. <P>Showcasing the most influential developments, experiments, and architectures impacting the digital, surveillance, automotive, industrial, and medical sciences, this text/referen

Digital Image Processing : An Algorithmi
โœ Chen, C.H; Qidwai, Uvais ๐Ÿ“‚ Library ๐Ÿ“… 2009 ๐Ÿ› CRC Press ๐ŸŒ English

Introduction to Image Processing and the MATLAB EnvironmentIntroduction Digital Image Definitions: Theoretical Account Image Properties MATLAB Algorithmic Account MATLAB CodeImage Acquisition, Types, and File I/OImage Acquisition Image Types and File I/O Basics of Color Images Other Color Spaces Alg

Machine Learning Algorithms for Signal a
โœ Suman Lata Tripathi, Deepika Ghai, Sobhit Saxena, Manash Chanda, Mamoun Alazab ๐Ÿ“‚ Library ๐Ÿ“… 2022 ๐Ÿ› Wiley-IEEE Press ๐ŸŒ English

<p><span>Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing</span></p><p><span>Machine Learning Algorithms for Signal and Image Processing</span><span> aids the reader in designing

Digital Signal and Image Processing Usin
โœ Gรฉrard Blanchet, Maurice Charbit ๐Ÿ“‚ Library ๐Ÿ“… 2006 ๐Ÿ› Wiley-ISTE ๐ŸŒ English

This title provides the most important theoretical aspects of Image and Signal Processing (ISP) for both deterministic and random signals. The theory is supported by exercises and computer simulations relating to real applications. More than 200 programs and functions are provided in the MATLABยฎ la