Digital Image Processing, An Algorithmic Introduction, Burger W., Burge M.J., 2022

Digital Image Processing, An Algorithmic Introduction, Burger W., Burge M.J., 2022.
    
   This book provides a modern, self-contained introduction to digital image processing. We designed this book to be used both by learners desiring a firm foundation on which to build as well as practitioners in search of detailed analysis and transparent implementations of the most important techniques. This is the third English edition of the original German-language book.




Digital Images.
For a long time, using a computer to manipulate a digital image (i.e., digital image processing) was something performed by only a relatively small group of specialists who had access to expensive equipment. Usually this combination of specialists and equipment was only to be found in research labs, and so the field of digital image processing has its roots in the academic realm. Now, however, the combination of a powerful computer on every desktop and the fact that nearly everyone has some type of device for digital image acquisition, be it their cell phone camera, digital camera, or scanner, has resulted in a plethora of digital images and, with that, for many digital image processing has become as common as word processing. It was not that many years ago that digitizing a photo and saving it to a file on a computer was a time-consuming task. This is perhaps difficult to imagine given today’s powerful hardware and operating system level support for all types of digital media, but it is always sobering to remember that “personal” computers in the early 1990s were not powerful enough to even load into main memory a single image from a typical digital camera of today. Now powerful hardware and software packages have made it possible for amateurs to manipulate digital images and videos just as easily as professionals.

All of these developments have resulted in a large community that works productively with digital images while having only a basic understanding of the underlying mechanics. For the typical consumer merely wanting to create a digital archive of vacation photos, a deeper understanding is not required, just as a deep understanding of the combustion engine is unnecessary to successfully drive a car.

Contents.
Part I Images and Pixels.
1 Digital Images.
2 Histograms and Image Statistics.
3 Point Operations.
Part II Filters, Edges and Corners.
4 Filters.
5 Edges and Contours.
6 Corner Detection.
Part III Binary Images.
7 Morphological Filters.
8 Regions in Binary Images.
9 Automatic Thresholding.
Part IV Geometric Primitives.
10 Fitting Straight Lines.
11 Fitting Circles and Ellipses.
12 Detecting Geometric Primitives.
Part V Color.
13 Color Images.
14 Colorimetric Color Spaces.
15 Filters for Color Images.
16 Edge Detection in Color Images.
17 Edge-Preserving Smoothing Filters.
Part VI Spectral Techniques.
18 Introduction to Spectral Methods.
19 The Discrete Fourier Transform in 2D.
20 The Discrete Cosine Transform (DCT).
Part VII Image Transformations.
21 Geometric Operations.
22 Pixel Interpolation.
Part VIII Image Matching.
23 Image Matching and Registration.
24 Non-Rigid Image Matching.
Part IX Local Features.
25 Scale-Invariant Feature Transform (SIFT).
26 Maximally Stable Extremal Regions (MSER).
Appendix.
A Mathematical Symbols and Notation.
B Linear Algebra.
C Nonlinear Least Squares.
D Elements from Calculus.
E Sub-Pixel Maximum Finding.
F Geometry.
G Statistical Prerequisites.
H Gaussian Filters.
I Writing ImageJ Plugins.
J Java Notes.
References.
Index.



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