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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Nannan Zhao Hongxing Sun Xinhe Xu |
| Copyright Year | 2006 |
| Description | Author affiliation: Inst. of Artificial Intelligence & Robotics, Northeastern Univ., Shenyang (Nannan Zhao; Hongxing Sun; Xinhe Xu) |
| Abstract | Using nonlinear wavelet transform could efficiently represent edges and compact energy into lower subbands of the transform, so the method of introducing nonlinear wavelet transforms into image compression is proposed. The coding method of this approach is based on the set partitioning in hierarchical trees (SPIHT) algorithm. How to progressively transmit the transformed coefficients is also discussed. That is, through controlling either the scale or the bit-rate, progressive image transmission is efficiently executed. The experimental results show that the proposed method performs better than JPEG2000, especially at higher compression ratios |
| Starting Page | 2362 |
| Ending Page | 2366 |
| File Size | 306109 |
| Page Count | 5 |
| File Format | |
| ISBN | 1424404657 |
| DOI | 10.1109/ICMA.2006.257701 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-06-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Image coding Image communication Transform coding Robotics and automation Bit rate Frequency Image storage Mechatronics Artificial intelligence image transmission wavelet transform lifting scheme nonlinear image compression |
| Content Type | Text |
| Resource Type | Article |
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