An efficient image codec based on backward coding of wavelet trees

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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 languageEnglish
Title of host publication7th IEEE Southwest Symposium on Image Analysis and Interpretation
Pages233-237
Number of pages5
StatePublished - 2006
Event7th IEEE Southwest Symposium on Image Analysis and Interpretation - Denver, CO, United States
Duration: Mar 26 2006Mar 28 2006

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation
Volume2006

Conference

Conference7th IEEE Southwest Symposium on Image Analysis and Interpretation
CountryUnited States
CityDenver, CO
Period03/26/0603/28/06

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    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).