Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/9428
Title: | High-fidelity Image Compression for High-throughput and Energy-efficient Cameras |
Authors: | Wang, Heng |
Advisor: | Wu, Xiaolin Dumitrescu, Sorina |
Department: | Electrical and Computer Engineering |
Keywords: | Electrical and Computer Engineering;Electrical and Computer Engineering |
Publication Date: | Nov-2010 |
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> |
URI: | http://hdl.handle.net/11375/9428 |
Identifier: | opendissertations/4552 5569 2047873 |
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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