Image compression using 2D Dual-tree Discrete Wavelet Transform (DDWT)

Jingyu Yang, Wenli Xu, Qionghai Dai, Yao Wang

Research output: Contribution to journalConference article

Abstract

In this paper, we investigate image compression using 2D Dual-tree Discrete Wavelet Transform (DDWT), which is an overcomplete transform with direction-selective basis functions. To further sparsify DDWT coefficients, an iterative projection-based noise shaping method is employed. We analyze the statistics of DDWT coefficients as well as the inter-scale, inter-subband, and intra-subband dependency among the DDWT coefficients. We further evaluate the application of SPIHT and EBCOT for coding DDWT coefficients. Experimental results show that SPIHT is more effective than EBCOT for DDWT, and the DDWT-SPIHT coder outperforms JPEG2000 at low bit rates and is comparable to JPEG2000 at high bit rates.

Original languageEnglish (US)
Article number4252630
Pages (from-to)297-300
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
StatePublished - Sep 27 2007
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: May 27 2007May 30 2007

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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