Digital signal and video processing

Higher education teachers: Košir Andrej

Subject description

Content (Syllabus outline):

Capturing, sampling and reconstruction of images (transfer function of imaging system, 2D sampling, sampling theory, imaging sensors, sampling and reconstruction of images, modelling in imaging systems and PSF). Colours and colour spaces (physical interpretation of colours, colorimetry, colour spaces and metrics, comparison and conversion between colour spaces). Image transformation (definition image transformations - FFT, DCT, Haar, KLT, wavelet transform, principal component analysis images, transformation applications, decorrelation, transformation as a tool for image compression). Standards for storage of images. Methods of image enhancement (histograms, linear and nonlinear filtering, image enhancement in the frequency domain). Edge detection and segmentation of objects (edge detection, edge detection filters, image segmentation, and morphology). Image recognition. Imaging object classification. Special features of video signals (video compression, motion vectors, video analysis) and related standards. Quality evaluation of images and video. Image perception. Quality of imaging and video communication services.

Objectives and competences:

Familiarisation with digital images. Management of an integrated approach and widespread knowledge of digital signal processing methods for the case of multidimensional signals. Obtaining qualifications for choosing relevant image acquisition, storage and transmission methods. Becoming familiar with the interpretation of colours in digital imaging systems. Competence to build systems that enhance the quality of images. Knowledge of image and video compression algorithms. Acquisition of basic knowledge in the field of 2D and 3D image recognition, identification of objects in images and in image sequences. Fundamentals of image and video compression standards JPEG and MPEG.

Learning and teaching methods:

Lectures with strong theoretical background, practically oriented lab assignments and individual seminary project assignment with optional teamwork.

Study materials

Readings:

1. Rafael C. Gonzalez, Richard E. Woods: Digital image processing, Addison-Wesley Publishing Company, 2007
2. Kenneth R. Castleman: Digital image processing, Prentice Hall, 1996
3. Bose, T., Digital signal and image processing, John Wiley and Sons, 2004.
4. B. Jaehne: Digital Imaage Processing, Springer Verlag Berlin, 2002
5. Nikola Pavešič: Razpoznavanje vzorcev, Založba FER