An efficient image codec based on backward coding of wavelet trees

Jiangling Guo; Sunanda Mitra; Brian Nutter; Tanja Karp

An efficient image codec based on backward coding of wavelet trees

Jiangling Guo, Sunanda Mitra, Brian Nutter, Tanja Karp

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
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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title = "An efficient image codec based on backward coding of wavelet trees",

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.",

author = "Jiangling Guo and Sunanda Mitra and Brian Nutter and Tanja Karp",

year = "2006",

language = "English",

isbn = "1424400694",

series = "Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation",

pages = "233--237",

booktitle = "7th IEEE Southwest Symposium on Image Analysis and Interpretation",

note = "null ; Conference date: 26-03-2006 Through 28-03-2006",

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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., 1633757, Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, vol. 2006, pp. 233-237, 7th IEEE Southwest Symposium on Image Analysis and Interpretation, Denver, CO, United States, 03/26/06.

An efficient image codec based on backward coding of wavelet trees. / Guo, Jiangling; Mitra, Sunanda; Nutter, Brian ; Karp, Tanja.

7th IEEE Southwest Symposium on Image Analysis and Interpretation. 2006. p. 233-237 1633757 (Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation; Vol. 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Mitra, Sunanda

AU - Nutter, Brian

AU - Karp, Tanja

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:33751056668

SN - 1424400694

SN - 9781424400690

T3 - Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

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BT - 7th IEEE Southwest Symposium on Image Analysis and Interpretation

Y2 - 26 March 2006 through 28 March 2006

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An efficient image codec based on backward coding of wavelet trees

Abstract

Publication series

Conference

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