LFU:online

The course Multimedia Communication leads to a basic understanding of the following points:
• Redundancy and lossless source coding
• Quantization and lossy source coding
• Decorrelation of signals by prediction, transform and subband decomposition
• Irrelevance and the human visual system
• Motion compensation and hybrid coding

Furthermore it gives an overview of the following standards:
• Image compression using JPEG, JPEG-LS, and JPEG-2000
• Video compression using MPEG-1, MPEG-2, H.264 / AVC, H.265 / HEVC

Multimedia Communications gives an overview of the basic concepts and algorithms for coding and transmission of image and video signals. For this, the digital representation of image and video signals will be described and the main characteristics of human visual perception as a message sink will be discussed. Following, the principles of data compression are explained by redundancy and irrelevancy reduction and typical algorithms for encoding image and video signals are outlined. These primarily include the quantization and entropy coding. Furthermore, the basic concepts of transform coding and subband decomposition, or wavelet analysis are introduced, as well as the principle of motion compensation and hybrid coding of video signals. At the end, several current standards for coding of individual and moving images are briefly introduced.