| TSIT20 | Image Coding and Data Compression, ECTS-points /BILDKODNING OCH DATAKOMPRESSION/ Advancement level: D | |
| Aim: The course treats modern image communication algorithms based on digital coding and transmission. It gives basic knowledge in the area of data compression (source coding) and gives methods for efficient digital representation of analog signals.Prerequisites: Signal Theory, e.g. TSIT64 or TSIT 65Course organization: The course consists of lectures, tutorials, and laborations.Course content: Introduction: Applications of digital image coding - Overview of algorithms - Models for signals and images - Statistical models - Lossless coding - Entropy - The Source Coding Theorem - Huffman coding - Arithmetic coding - Universal Coding - Coding of analog signals - Rate Distortion bounds - Sampling - Memoryless quantization - PCM - Predictive coding - Motion estimation - Transform coding - JPEG - Hybrid coding; MPEG - Wavelets - Vector quantization - Fractals - (3D-)Model-based coding - Colour image representation - Coding complexity, implemental aspects.Course literature: Compendia: "Image Coding and Data Compression" | ||
| UPG 1 | ||
| LAB 1 | Labratory work | |
| TEN 1 | Written examination | |