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An Introduction to Digital Image Processing - MS710P70

Title:	Úvod do digitálního zpracování obrazu
Czech title:	Úvod do digitálního zpracování obrazu
Guaranteed by:	Institute of Applied Mathematics and Information Technologies (31-710)
Faculty:	Faculty of Science
Actual:	from 2021
Semester:	summer
E-Credits:	3
Examination process:	summer s.:
Hours per week, examination:	summer s.:1/1, C [HT]
Capacity:	20
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	Czech
Note:	enabled for web enrollment

Guarantor:	Ing. Stanislav Saic, CSc.

Opinion survey results Examination dates SS schedule

Annotation -

Last update: Ing. Stanislav Saic, CSc. (28.12.2021)

The lecture introduces Fundamental Steps in Digital Image Processing.

We assemble most of the procedures needed for basic image data processing in Matlab.
However, advance knowledge of programming is not a prerequisite for participation.

Literature -

Last update: Ing. Stanislav Saic, CSc. (28.12.2021)

Rafael C. Gonzales, Richard E. Woods, “Digital Image Processing”, Third Edition, Pearson Education, 2010.

Rafael C. Gonzalez, Richard E. Woods, Steven L. Eddins, “Digital Image Processing Using MATLAB”, Third Edition Tata Mc Graw Hill Pvt. Ltd., 2011.

Syllabus -

Last update: Ing. Stanislav Saic, CSc. (28.12.2021)

Fundamental Steps in Digital Image Processing, Elements of Visual Perception, Image Sensing and Acquisition,
Components of an Image Processing System, Sampling and Quantization,
Representing Digital Images (Data structure) sampling and quantization,
Some Basic Relationships between Pixels - Neighbors and Connectivity of pixels in image.

Examples of fields that uses digital Image processing.

Image Enhancement in the Spatial Domain, Correlation and convolution,
Some Basic Gray Level Transformations, Intensity transformations,
Histogram Processing, Enhancement Using Arithmetic/Logic Operations,
Order Statistics, Basics of Spatial Filtering, Smoothing Spatial Filters,
Sharpening Spatial Filters, Gradient and Laplacian.

Filtering in the Frequency domain, Fourier Transforms and properties,
Convolution, Correlation, Band reject Filters,
Band pass Filters, 2-D sampling, Discrete Cosine Transform.