The following topics are covered: Mathematical preliminaries for digital image processing, Fourier, cosine, and wavelet transforms and their applications, JPEG, MPEG, and audio compression, point and geometric operations, sampling and reconstructing images, filtering, stochastic approach to digital image processing, morphological image processing, image enhancement using deep learning. The course includes the computer labs in which the computer programs are realised corresponding to the mentioned topics.
Graduates of this course will be able to:
- Describe and explain the theoretical foundations of operations on image signal space, including Fourier, cosine, and wavelet transforms, convolution, and filtering.
- Describe and explain the principles of image and video compression.
- Apply theoretical knowledge in the creation of algorithms that solve the problem of various image modifications.
- Evaluate, discuss, select, and compare the quality and effectiveness of various algorithms for working with images.