Rate-Distortion Optimized Image Compression using Wedgelets
| dc.citation.bibtexName | inproceedings | en_US |
| dc.citation.conferenceName | IEEE International Conference on Image Processing | en_US |
| dc.citation.firstpage | III-237 | en_US |
| dc.citation.lastpage | III-240 | en_US |
| dc.citation.location | Rochester, NY | en_US |
| dc.citation.volumeNumber | 3 | en_US |
| dc.contributor.author | Wakin, Michael | en_US |
| dc.contributor.author | Romberg, Justin | en_US |
| dc.contributor.author | Choi, Hyeokho | en_US |
| dc.contributor.author | Baraniuk, Richard G. | en_US |
| dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
| dc.date.accessioned | 2007-10-31T01:08:46Z | en_US |
| dc.date.available | 2007-10-31T01:08:46Z | en_US |
| dc.date.issued | 2002-06-01 | en_US |
| dc.date.modified | 2006-06-21 | en_US |
| dc.date.note | 2002-05-21 | en_US |
| dc.date.submitted | 2002-06-01 | en_US |
| dc.description | Conference Paper | en_US |
| dc.description.abstract | Most wavelet-based image coders fail to model the joint coherent behavior of wavelet coefficients near edges. Wedgelets offer a convenient parameterization for the edges in an image, but they have yet to yield a viable compression algorithm. In this paper, we propose an extension of the zerotree-based Space-Frequency Quantization (SFQ) algorithm by adding a wedgelet symbol to its tree-pruning optimization. This incorporates wedgelets into a rate-distortion compression framework and allows simple, coherent descriptions of the wavelet coefficients near edges. The resulting method yields improved visual quality and increased compression efficiency over the standard SFQ technique. | en_US |
| dc.description.sponsorship | Office of Naval Research | en_US |
| dc.description.sponsorship | National Science Foundation | en_US |
| dc.description.sponsorship | Air Force Office of Scientific Research | en_US |
| dc.identifier.citation | M. Wakin, J. Romberg, H. Choi and R. G. Baraniuk, "Rate-Distortion Optimized Image Compression using Wedgelets," vol. 3, 2002. | en_US |
| dc.identifier.doi | http://dx.doi.org/10.1109/ICIP.2002.1038949 | en_US |
| dc.identifier.uri | https://hdl.handle.net/1911/20427 | en_US |
| dc.language.iso | eng | en_US |
| dc.subject | image compression | en_US |
| dc.subject | wedgelets | en_US |
| dc.subject | rate-distortion | en_US |
| dc.subject | WSFQ | en_US |
| dc.subject.keyword | image compression | en_US |
| dc.subject.keyword | wedgelets | en_US |
| dc.subject.keyword | rate-distortion | en_US |
| dc.subject.keyword | WSFQ | en_US |
| dc.subject.other | Wavelet based Signal/Image Processing | en_US |
| dc.title | Rate-Distortion Optimized Image Compression using Wedgelets | en_US |
| dc.type | Conference paper | en_US |
| dc.type.dcmi | Text | en_US |