E-Book, Englisch, 89 Seiten, eBook
Furht / Akar / Andrews Digital Image Processing: Practical Approach
1. Auflage 2018
ISBN: 978-3-319-96634-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, 89 Seiten, eBook
Reihe: SpringerBriefs in Computer Science
ISBN: 978-3-319-96634-2
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
The SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java. These practical examples include among other creating image histograms, performing lossless image compression, detecting change in colors, similarity-based image retrieval and others.
All practical examples are accompanied with an explanation how to create programs and the obtained results. This SpringerBrief can be very useful for the undergraduate courses on image processing, providing students with the basic tools in image analysis and processing. Practitioners and researchers working in this field will also find this research useful.
Zielgruppe
Lower undergraduate
Autoren/Hrsg.
Weitere Infos & Material
1;Preface;6
2;Contents;8
3;Chapter 1: Introduction to Digital Imaging;10
3.1;1.1 Image Concept;10
3.2;1.2 Image File Formats;13
3.3;1.3 Image Resolution;13
4;Chapter 2: Creating User Interface;15
4.1;2.1 Compiling the Program;18
5;Chapter 3: Image Loading and Rendering;20
5.1;3.1 Loading Image from Disk;20
5.2;3.2 Writing to Disk;22
5.3;3.3 Creating Texture from Images;22
5.4;3.4 Converting Color to Grayscale Images;24
6;Chapter 4: Creating Image Histograms;27
6.1;4.1 Program for Creating Histograms;28
7;Chapter 5: Detecting Changes in Color;32
8;Chapter 6: Lossless JPEG Image Compression;39
8.1;6.1 Example of a Huffman coder;41
8.2;6.2 Huffman Programming Example;44
8.3;6.3 Lossless JPEG Examples;50
9;Chapter 7: Similarity-Based Image Retrieval;55
10;Chapter 8: Data Hiding in Digital Images;60
11;Chapter 9: Image Transition;67
11.1;9.1 Compiler Optimizations;70
12;Chapter 10: Image-to-Image Embedding;72
13;Chapter 11: Changing Color of Selected Objects;77
13.1;11.1 Implementation Description;77
14;Chapter 12: Loading and Inserting Objects in an Image;81
15;Chapter 13: Swap Faces in an Image;84
15.1;13.1 Rapid Object Detection Using a Boosted Cascade of Simple Features;84
15.2;13.2 Features in Images;85
15.3;13.3 Integral Image;85
