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https://hdl.handle.net/10356/50499
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wei, Zhe | en |
dc.date.accessioned | 2012-06-08T01:12:04Z | en |
dc.date.available | 2012-06-08T01:12:04Z | en |
dc.date.copyright | 2012 | en |
dc.date.issued | 2012 | en |
dc.identifier.citation | Wei, Z. (2012). Network-adaptive prediction-compensated polyphase multiple description image coding and contrast-guided image interpolation. Doctoral thesis, Nanyang Technological University, Singapore. | en |
dc.identifier.uri | https://hdl.handle.net/10356/50499 | en |
dc.description.abstract | In this thesis, we propose an efficient multiple description coding (MDC) system and a novel image interpolation method. For the MDC system, it consists of two thrust contributions: 1) a new polyphase MDC scheme, called the prediction-compensated polyphase MDC (PCP-MDC), for significantly improving coding efficiency, and 2) an adaptive redundancy control (ARC) scheme for yielding optimal trade-off between coding efficiency and error resilience as follows. For the first contribution, the proposed PCP-MDC begins with a simple yet novel approach to first partition each quincunx downsampled description into two sub-descriptions, called the primary sub-description (PS) and dual sub-description (DS). The PS is encoded by exploiting the H.264/AVC intra coding first, and the DS is subject to prediction coding based on the reconstructed PS. For prediction, the mode-guided directional prediction (MDP) algorithm is developed to conduct a fast and accurate prediction for the DS. | en |
dc.format.extent | 126 p. | en |
dc.language.iso | en | en |
dc.subject | DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems | en |
dc.title | Network-adaptive prediction-compensated polyphase multiple description image coding and contrast-guided image interpolation | en |
dc.type | Thesis | en |
dc.contributor.supervisor | Ma Kai Kuang | en |
dc.contributor.school | School of Electrical and Electronic Engineering | en |
dc.description.degree | DOCTOR OF PHILOSOPHY (EEE) | en |
dc.identifier.doi | 10.32657/10356/50499 | en |
item.grantfulltext | open | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | EEE Theses |
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File | Description | Size | Format | |
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Teg0702570J.pdf | Main Article | 12.6 MB | Adobe PDF | ![]() View/Open |
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