Code: F7AMBMZOS Methods and Devices for Processing, Compression and Recording of Image Signal
Lecturer: Ing. Tomá¹ Døí¾ïal Ph.D. Weekly load: 1P+1C Completion: A
Department: 17110 Credits: 3 Semester: W
Description:
The course deals with the following topics: general image processing system, basics of image acquisition using image sensors, sampling, quantization and representation of digital images, aliasing, transfer properties of the imaging system, color image acquisition, overview of image formats, digitizing rasters, video signal, A/D video signal converters, frame-grabber. HW and SW for image processing, compression methods, compression standards, signal recording methods, digital signal recording, selected recording standards for image recording, specifics for applications in clinical practice.
Contents:
1. Digitization of image and video signal
2. Image data formats
3. HW and SW for digitization and image processing
4. Image compression, methods
5. Image compression, standards
6. Video signal recording, part 1
7. Video signal recording, part 2
Seminar contents:
1. A/D converter, frame grabber. Use of Matlab as a SW means for communication with a device providing a video signal. Image sampling and quantization. Design of a test pattern, the origin of aliasing and its manifestations.
2. Color image capture, interpolation from Bayer mask. Load the image format and identification the data in the file header.
3. Analog image recording with rotating heads and digital recording - measurement of resolution using measuring image tests (Siemens star), comparison of different systems (VHS, Super VHS, DV, recording in 4K UHD format).
4. Experiment with image compression, implementation of the basic procedure for JPEG format in Matlab. Experiment with image compression, use of integral transformations (spectrum).
5. Experiment with image compression, implementation of the basic procedure for JPEG format in Matlab. Experiment with image compression, evaluation of image quality (assessment of the influence of individual levels).
6. Principle of CD/DVD (measuring set).
7. Example of MPEG2 codec operation + example of SW for transport stream analysis, illustration of differences between H.264 MPEG-4 Part 10 AVC and H.265/MPEG-H Part 2 HEVC standards, credit.
Recommended literature:
Mandatory (available at the faculty library or at http://knihovna.cvut.cz):
[1] Teaching text ? Image Acquisition and Processing in Biomedical Microscopy [online]. Jiri Hozman, c2002-2019. Last revision 17. 10. 2012 [cit. 2019-04-30].
URL: http://webzam.fbmi.cvut.cz/hozman/
[2] ©ONKA, Milan, Václav HLAVÁÈ a Roger BOYLE. Image processing, analysis, and machine vision. Fourth Edition. Australia: Cengage Learning, 2015. ISBN 978-1-133-59369-0.
[3] SHI, Yun Q. a Huifang SUN. Image and video compression for multimedia engineering: fundamentals, algorithms and standards. 2nd ed. Boca Raton: CRC Press, ?2008. xxxii, 541 s. ISBN 978-0-8493-7364-0.

Recommended (available at the faculty library or at http://knihovna.cvut.cz):
[4] REED, Todd R., ed. Digital image sequence processing, compression, and analysis. Boca Raton: CRC, 2004. 272 s. ISBN 0-8493-1526-3.
[5] THYAGARAJAN, K. S. Still image and video compression with MATLAB [online]. Hoboken: Wiley, ?2011 [cit. 2019-01-28]. Available from:
<http://onlinelibrary.wiley.com/book/10.1002/9780470886922>. ISBN 978-0-470-88692-2.

Other study materials:
[6] Educational SW for image data processing (SW MIPS - https://www.instaluj.cz/mips - created by Jiri Hozman as well)
[7] Prepared source codes for selected compression standards to supplement students during the exercise (the author is the tutor)

Abbreviations used:

Semester:

Mode of completion of the course:

Weekly load (hours per week):