Abstract
Backward coding of wavelet trees (BCWT) is a new approach for encoding images in the wavelet domain. This new approach starts coding from the lowest level and goes backward by building a map of maximum quantization levels of descendants. BCWT eliminates several major bottlenecks of existing wavelet-tree-based codecs, namely tree-scanning, bitplane coding and dynamic lists management. It also encodes and decodes up to eight times faster than SPIHT without sacrificing PSNR and provides desirable features such as low complexity and low memory usage.
| Original language | English |
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| Title of host publication | 7th IEEE Southwest Symposium on Image Analysis and Interpretation |
| Pages | 233-237 |
| Number of pages | 5 |
| State | Published - 2006 |
| Event | 7th IEEE Southwest Symposium on Image Analysis and Interpretation - Denver, CO, United States Duration: Mar 26 2006 → Mar 28 2006 |
Publication series
| Name | Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation |
|---|---|
| Volume | 2006 |
Conference
| Conference | 7th IEEE Southwest Symposium on Image Analysis and Interpretation |
|---|---|
| Country | United States |
| City | Denver, CO |
| Period | 03/26/06 → 03/28/06 |
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Cite this
Guo, J., Mitra, S., Nutter, B., & Karp, T. (2006). An efficient image codec based on backward coding of wavelet trees. In 7th IEEE Southwest Symposium on Image Analysis and Interpretation (pp. 233-237). [1633757] (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2006).