Digital Image Processing
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This page contains resources about Digital Image Processing in general, including Geospatial Data.
More specific information is included in each subfield.
Contents
Subfields and Concepts[edit]
See Category:Digital Image Processing for some of its subfields.
- Image Representation
- Sparse Image Representation
- Multiscale
- Pyramid representation
- Wavelets, Gabor, Curvlets, ...
- Bases
- Frames
- Dictionaries
- Scale-space representation
- Image Compression
- Image Restoration
- Image Enhancement
- Image Transforms
- Fourier Transform
- Radon Transform
- Discrete Cosine Transform
- Walsh Transform
- Hadamard Transform
- Karhunen-Loeve Transform / Hotelling Transform
- Geospational Data
- Remote Sensing
- Light Detection and Ranging (LiDAR)
- Hyperspectral imaging
- Geographic Information System (GIS) Data
Online Courses[edit]
Video Lectures[edit]
- Fundamentals of Digital Image and Video Processing by Aggelos K. Katsaggelos - Coursera
- Digital Image Processing by Prabir Kumar Biswas - NPTEL
- Digital Voice and Picture Communication by S. Sengupta - NPTEL
Lecture Notes[edit]
- Image Processing by Alan Peters
- Image Processing by Serge J. Belongie
- Digital Image Processing by Sinisa Todorovic
- Digital Image Processing Onur G. Guleryuz
- Digital Image Processing by Avideh Zakhor
- Digital Image Processing by Tania Stathaki
- Digital Image Processing by Frank (Qingzhong) Liu
Books[edit]
- Jensen, J. R. (2016). Introductory digital image processing: a remote sensing perspective. 4th Ed. Pearson.
- Richards, J. A., & Richards, J. A. (2013). Remote sensing digital image analysis. 5th Ed. Springer.
- Solomon, C., & Breckon, T. (2011). Fundamentals of Digital Image Processing - A Practical Approach with Examples in Matlab. John Wiley & Sons.
- Burger, W., Burge, M. J., Burge, M. J., & Burge, M. J. (2009). Principles of Digital Image Processing. Springer.
- Petrou, M. & Bharath, A. (2008). Next Generation Artificial Vision Systems: Reverse Engineering the Human Visual System. Artech House.
- Gonzalez, R. C., & Woods, R. E. (2008). Digital Image Processing. Pearson Prentice Hall.
- Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2004). Digital Image Processing using MATLAB. Pearson Prentice Hall.
- Pitas, I. (2000). Digital Image Processing Algorithms and Applications. John Wiley & Sons.
- Lim, J. S. (1990). Two-Dimensional Signal and Image Processing. Prentice Hall.
Software[edit]
- Image Processing Toolbox - MATLAB
- DIPUM Toolbox - MATLAB
- Python Imaging Library and also Pillow (successor project)
- Image Processing with scikit-image - Python
- dlib - C++ (with Python API)
