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Digital Image Processing: Practical Approach
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Digital Image Processing: Practical Approach
von: Borko Furht, Esad Akar, Whitney Angelica Andrews
Springer-Verlag, 2018
ISBN: 9783319966342
89 Seiten, Download: 6065 KB
 
Format:  PDF
geeignet für: Apple iPad, Android Tablet PC's Online-Lesen PC, MAC, Laptop

Typ: A (einfacher Zugriff)

 

 
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Inhaltsverzeichnis

  Preface 6  
  Contents 8  
  Chapter 1: Introduction to Digital Imaging 10  
     1.1 Image Concept 10  
     1.2 Image File Formats 13  
     1.3 Image Resolution 13  
  Chapter 2: Creating User Interface 15  
     2.1 Compiling the Program 18  
  Chapter 3: Image Loading and Rendering 20  
     3.1 Loading Image from Disk 20  
     3.2 Writing to Disk 22  
     3.3 Creating Texture from Images 22  
     3.4 Converting Color to Grayscale Images 24  
  Chapter 4: Creating Image Histograms 27  
     4.1 Program for Creating Histograms 28  
  Chapter 5: Detecting Changes in Color 32  
  Chapter 6: Lossless JPEG Image Compression 39  
     6.1 Example of a Huffman coder 41  
     6.2 Huffman Programming Example 44  
     6.3 Lossless JPEG Examples 50  
  Chapter 7: Similarity-Based Image Retrieval 55  
  Chapter 8: Data Hiding in Digital Images 60  
  Chapter 9: Image Transition 67  
     9.1 Compiler Optimizations 70  
  Chapter 10: Image-to-Image Embedding 72  
  Chapter 11: Changing Color of Selected Objects 77  
     11.1 Implementation Description 77  
  Chapter 12: Loading and Inserting Objects in an Image 81  
  Chapter 13: Swap Faces in an Image 84  
     13.1 Rapid Object Detection Using a Boosted Cascade of Simple Features 84  
     13.2 Features in Images 85  
     13.3 Integral Image 85  


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