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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhong Cuixiang Huang Minghe |
| Copyright Year | 2010 |
| Abstract | As a state-of-the-art image compression algorithm, SPIHT has wider applications in the compression of multi-spectral images. A typical example is an improvement to SPIHT was used to compress multi-spectral images. Although this improvement decreases the requirement for space and time, and makes SPIHT a more appropriate algorithm for hardware implementation, it still contains a great deal of redundant search, greatly reducing encoding speed. In order to solve this problem, the authors of this paper successively proposed a fast search algorithm and an optimized fast search algorithm, and applied them to the improved SPIHT algorithm for multi-spectral image compression, greatly reducing redundant search and improving coding speed. This new idea can also be applied to 3D-SPIHT, 2D-SPECK and 3D-SPECK to achieve higher encoding speed. |
| Starting Page | 337 |
| Ending Page | 340 |
| File Size | 351487 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424476213 |
| e-ISBN | 9781424476220 |
| DOI | 10.1109/IFITA.2010.176 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-16 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis optimized fast search algorithm Image coding Bit rate multi-spectral image encoding speed Search problems Hardware Matrix decomposition compression Image reconstruction SPIHT |
| Content Type | Text |
| Resource Type | Article |
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