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Basics of Image Processing

Basics of image processing

Digital images

Introduction
Image acquisition
What is a digital image?
Color models
Displaying an image
Arithmetic operations
Histogram
Conclusion

Transforms & Filtering

Introduction
Convolution
Fourier transform
Filtering
Conclusion

Compression

Introduction
Lossless compression
Lossy compression
Conclusion

Interpolation & registration

Introduction
Interpolation methods
Registration
Conclusion

Segmentation

Introduction
Histogram thresholding
Clustering
Watershed
How to evaluate a segmentation?
Conclusion

Binary image processing

Introduction
Neighborhood and connectivity
Mathematical morphology
Applications
Measure
Conclusion

Restoration

Introduction
Denoising
Deconvolution
Conclusion

Feature detection

Introduction
Matched filter
Edge detection
Corner detection
Line detection
SIFT
Conclusion

Appendices

Glossary
License

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By Vincent Mazet (University of Strasbourg, France)

© Copyright 2020-2026.

Basics of Image Processing — Vincent Mazet (Université de Strasbourg), 2020-2026 — CC BY-NC 4.0.