456-0082/01 – Digital Image Processing (DZO)
Gurantor department | Department of Computer Science | Credits | 4 |
Subject guarantor | doc. Dr. Ing. Eduard Sojka | Subject version guarantor | doc. Dr. Ing. Eduard Sojka |
Study level | undergraduate or graduate | Requirement | Choice-compulsory |
Year | | Semester | winter |
| | Study language | Czech |
Year of introduction | 1993/1994 | Year of cancellation | 2002/2003 |
Intended for the faculties | FEI | Intended for study types | Master |
Subject aims expressed by acquired skills and competences
The course acquaints the students with the foundations of digital image processing.
Teaching methods
Summary
The following topics are discussed: Mathematical preliminaries for digital image processing. Fourier, cosine, wavelet transforms. JPEG, MPEG, fractal compression. Point and geometric operations. Sampling and reconstructing images. Filtering. Stochastic approach to digital image processing. Morphological image processing.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
Conditions for credit:
The tasks that form the program of exercises must be worked out.
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
Lectures:
The space of image signals. Operators. Linearity and shift invariance. Dirac delta function. Convolution. Discrete convolution. Applications of convolution in digital image processing.
Image transforms. The Fourier transform, discrete Fourier transform, cosine transform.
Properties of Fourier transform and its applications in digital image processing. Fast Fourier transform. Modifying the frequency spectrum of images.
JPEG compression of images.
MPEG compression of image sequences.
Fractal compression.
Wavelet transforms. Applications in digital image processing.
Sampling and reconstructing images. Aliasing. Quantization.
Transformations of brightness. Gamma correction. Histogram equalisation.
Geometrical transformations of images. Morphing and warping.
Filtering. Recursive and non-recursive filtering. Non-recursive filter design.
Random fields and stochastic processes and their applications in digital image processing. Inverse filter. Wiener filter.
Morphological image processing.
Technical equipment for capturing and processing images. CCD cameras, scanners, frame grabbers.
Software systems for processing images and image sequences.
Computer labs:
During the exercises, the students work out a series of practical tasks (convolution, Fourier transform, JPEG compression, transformations of brightness, geometrical transformations, filtering, Wiener filter). The tasks are prepared in the form of templates (pre-prepared programs) into which the sudents fill their own source code. In this way, they can focus on substantial and interesting issues. Furthermore, examples of comercially available systems for digital image processing are presented.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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