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http://hdl.handle.net/11375/9428
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DC Field | Value | Language |
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dc.contributor.advisor | Wu, Xiaolin | en_US |
dc.contributor.advisor | Dumitrescu, Sorina | en_US |
dc.contributor.author | Wang, Heng | en_US |
dc.date.accessioned | 2014-06-18T16:47:04Z | - |
dc.date.available | 2014-06-18T16:47:04Z | - |
dc.date.created | 2011-06-06 | en_US |
dc.date.issued | 2010-11 | en_US |
dc.identifier.other | opendissertations/4552 | en_US |
dc.identifier.other | 5569 | en_US |
dc.identifier.other | 2047873 | en_US |
dc.identifier.uri | http://hdl.handle.net/11375/9428 | - |
dc.description.abstract | <p>In this thesis, we propose a new encoder-friendly image compression strategy for high-throughput cameras and other scenarios of resource-constrained encoders. The encoder performs L<sub>∞</sub>-constrained predictive coding (DPCM coupled with uniform scalar quantizer), while the decoder solves an inverse problem of L<sub>2</sub> restoration of L<sub>∞</sub>-coded images. Although designed for minimum encoder complexity (lower than distributed source coding and compressive sensing), the new codec outperforms state-of-the-art encoder-centric image codecs such as JPEG 2000 in PSNR for bit rates higher than 1.2 bpp, while maintaining much tighter L<sub>∞</sub> error bounds as well. This is achieved by exploiting the tight error bound on each pixel provided by the L<sub>∞</sub>-constrained encoder and by locally adaptive image modeling.</p> | en_US |
dc.subject | Electrical and Computer Engineering | en_US |
dc.subject | Electrical and Computer Engineering | en_US |
dc.title | High-fidelity Image Compression for High-throughput and Energy-efficient Cameras | en_US |
dc.type | thesis | en_US |
dc.contributor.department | Electrical and Computer Engineering | en_US |
dc.description.degree | Master of Applied Science (MASc) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
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fulltext.pdf | 1.77 MB | Adobe PDF | View/Open |
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