Pokročilé zpracování multimediálních signálů

Garant předmětu:

Přednášející:

Cvičící:

Předmět zajišťuje:

katedra radioelektroniky

Anotace:

The course covers selected areas of advanced multimedia signal processing with emphasis on processing techniques

adapted for sensing, processing and reproduction especially of image and video signals concerning the requirements of

human observers and the characteristics of human visual system (HVS). Main focus of the course is on visual

information coding, including overview of conventional methods in respect to the information theory, rate-distortion

analysis and advanced methods for efficient visual information representation in respect to Quality of Experience (QoE)

in emerging immersive multimedia. Emphasis is placed on the rigorous theoretical description of the methods but also on

the possibility of their experimental verification in the laboratory using special equipment or simulation tools.

Požadavky:

Základní popis signálů a soustav, spektrální reprezentace signálů, základní

integrální transformace, základy zpracování obrazu:

[1] Oppenheim, A. V., Willsky, A. S., Young, I. T., Signals and systems, Harlow:

Pearson, 2013.

[2] Gonzalez, R. C., Woods, R. E.: Digital image processing, Upper Saddle River:

Prentice-Hall, 2007.

Osnova přednášek:

1. Linear algebra for multidimensional signal processing, matrix representation of images, spectral representation.

2. Multiscale image processing, pyramidal decomposition, continuous and discrete wavelet transform.

3. Human visual system (HVS) characteristics and models.

4. Image and video quality assessment, Quality of Experience (QoE).

5. Advanced colorimetry in imaging systems and color management.

6. Modelling of image signals, noise models.

7. Methods of image reconstruction, noise reduction.

8. Super-resolution, compressed sensing.

9. High dynamic range (HDR) image acquisition and reproduction.

10. Principles of 3D imaging, stereoscopic and volumetric imaging, digital holography.

11. Capturing and processing of images from light-field camera.

12. Compression of still images.

13. Video compression techniques: motion vector, preprocessing and postprocessing.

14. Compression for emerging image and video communication systems.

Osnova cvičení:

Cíle studia:

Studijní materiály:

[1] Dufaux, F., Le Callet, P., Mantiuk, R., Mrak, M.: High Dynamic Range Video: From Acquisition, to Display and

Applications, Academic Press, 2016.

[2] Möller, S., Raake, A.: Quality of Experience: Advanced Concepts, Applications and Methods, Springer, 2014.

[3] Woods, J. W.: Multidimensional signal, image, and video processing and coding, Academic Press, 2012.

[4] Milanfar, P.: Super-resolution imaging, Boca Raton: CRC, 2011.

[5] Cristobal, G., Schelkens, P., Thienpont, H.: Optical and digital image processing: fundamentals and applications,

Wiley, 2011.

[6] Mrak, M., Grgić, M, Kunt, M.: High-quality visual experience: creation, processing and interactivity of highresolution

and high-dimensional video signals, Springer, 2010.

Poznámka:

Další informace:

Pro tento předmět se rozvrh nepřipravuje

Předmět je součástí následujících studijních plánů:

• Doktorské studium, prezenční forma (povinně volitelný předmět)
• Doktorské studium, kombinovaná forma (povinně volitelný předmět)