Multiple description image/video compression using oversampling and noise shaping in the DCT-domain

Multiple Descriptions (MDs) source coding is a method to overcome unexpected information loss in a diversity system such as the internet, or a wireless network. In case that the information can suffer loss and still be intelligible, like audio or video, MD is a way to take full advantage of the diversity in the system and provide graceful degradation. Standards-compliant MD coding targeting widely used compression standards, such as JPEG and MPEG, have so far however received little attention in the literature. A recently proposed scheme of MD coding by dithered Delta-Sigma Quantization (DSQ) utilizes oversampling in order to accomplish diversity, and noise shaping to control the distortion-versus-loss trade off at any fixed rate. In this work we implement a DSQ-based MD compression scheme for images/videos working in the discrete cosine transform (DCT) domain. The MD encoder and decoder consist of a standard JPEG/MPEG core, with additional processing and control. We show promising numerical results under various scenarios.