| Individual course details | ||||||||||
| Study programme | Applied and Computer Physics / General Physics | |||||||||
| Chosen research area (module) | ||||||||||
| Nature and level of studies | Undergraduate Studies | |||||||||
| Name of the course | Computers in image and sound processing | |||||||||
| Professor (lectures) | Prof Zoran Nikolić | |||||||||
| Professor/associate (examples/practical) | Prof Zoran Nikolić | |||||||||
| Professor/associate (additional) | ||||||||||
| ECTS | 2 | Status (required/elective) | Elective | |||||||
| Access requirements | ||||||||||
| Aims of the course | Getting to know the theory and principle of processing digital image and digital sound. | |||||||||
| Learning outcomes | Adoption of theoretical basis of the complex signals and theoretical knowledge of formalisms in the processing of digital image and digital sound. Image and sound processing tools. | |||||||||
| Contents of the course | ||||||||||
| Lectures | 1. Programs for the processing and analysis of digital photographs: GIMP and ImageJ. 2. Cameras, cameras and scanners. 3. Visual perception. Representation of colors. Digital photography, representation and record. Operations with pixels. Arithmetic operations. Histograms. Contrast interventions. Processing the area. 4. Convolutions. Blur. Focusing. Detection of edges in black and white and color mode. Median filetting. Min-Max filtering. 5. Geometric processing. Interpolation. Cubic spline interpolation. Scaling photos. Translating, rotating, and viewing photos. 6. Segment operations. Collection, subtraction, consolidation, and logical operations. 7. Transformation of photos. 8. Basics of signal processing. Frequency domain. Fast Fourier Transformation. Frequency domain filtering. 9. Segmenting digital photos. Operations with objects. Digital photo compression. Measurements in digital photographs in physics. 10. Program for processing and analysis of sound recordings: Audacity. 11. Sound cards, microphones and speakers.12. Waves and harmonics. Sound. Human ear, hearing and limiting. Harmonic oscillations. Superposition. Muffled oscillations. Resonance. Fourier coefficients. Fourier transform in acoustics. Spectrum. 13. Digital sound. Standards in digital sound recordings. WAV and MP3 with Variety. MIDI sequences. MIDI interface and keyboard control. 14. Semplication. Digital filtering. Sound synthesis. Physical modeling. 15. Amplitude and frequency modulation. Symmetry in the soundtrack. Acoustic measurements in physics. | |||||||||
| Examples/ practical classes | Computational exercises follow the lectures. | |||||||||
| Recommended books | ||||||||||
| 1 | I. T. Young, J. J. Gerbrands, L. J. van Vliet, Fundamentals of Image Processing, Delft University of Technology, (1998). | |||||||||
| 2 | D. Benson, Mathematics and Music, University of Georgia, Athens, (2003). | |||||||||
| 3 | ||||||||||
| 4 | ||||||||||
| 5 | ||||||||||
| Number of classes (weekly) | ||||||||||
| Lectures | Examples&practicals | Student project | Additional | |||||||
| 2 | ||||||||||
| Teaching and learning methods | Lectures and exercises, consultations, homeworks. | |||||||||
| Assessment (maximal 100) | ||||||||||
| assesed coursework | mark | examination | mark | |||||||
| coursework | 10 | written examination | 20 | |||||||
| practicals | oral examination | 40 | ||||||||
| papers | ||||||||||
| presentations | 30 | |||||||||