A Practical Transmission System Based on the Human Visual Model for Satellite Channels

Simple item page
dc.contributor.advisorBaras, John S.en_US
dc.contributor.authorGu, Junfengen_US
dc.contributor.authorJiang, Yiminen_US
dc.contributor.authorBaras, John S.en_US
dc.contributor.departmentISRen_US
dc.contributor.departmentCSHCNen_US
dc.date.accessioned2007-05-23T10:08:02Z
dc.date.available2007-05-23T10:08:02Z
dc.date.issued1999en_US
dc.description.abstractThis paper presents a practical architecture for joint source-channel coding of human visual model-based video transmission over a satellite channel. Perceptual distortion model just-noticeable-distortion (JND) is applied to improve the subjective quality of compressed videos. 3-D wavelet decomposition can remove spatial and temporal redundancy and provide the scalability of video quality. <p>In order to conceal errors occurring under bad channel conditions, a novel slicing method and a joint source channel coding scenario that combines RCPC with CRC and utilizes the distortion information to allocate convolutional coding rates are proposed. A new performance index based on JND is proposed and used to evaluate the overall performance at different signal-to-noise ratios (SNR). Our system uses OQPSK modulation scheme.<P><Center><I>The research and scientific content in this material has been submitted to Globecom'99.</I></Center>en_US
dc.format.extent255243 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/1903/6064
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1999-14en_US
dc.relation.ispartofseriesCSHCN; TR 1999-6en_US
dc.subjectdata compressionen_US
dc.subjectdetectionen_US
dc.subjecterror detection codesen_US
dc.subjectimage processingen_US
dc.subject3-D waveleten_US
dc.subjectHVSen_US
dc.subjectJNDen_US
dc.subjectIntelligent Signal Processing and Communications Systemsen_US
dc.titleA Practical Transmission System Based on the Human Visual Model for Satellite Channelsen_US
dc.typeTechnical Reporten_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
TR_99-14.pdf
Size:
249.26 KB
Format:
Adobe Portable Document Format
Download

Collections

Institute for Systems Research Technical Reports