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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Chen Hongxin Liu Zhengguang Zhang Hongwei |
| Copyright Year | 2005 |
| Description | Author affiliation: Sch. of Electr. Eng. & Autom., Tianjin Univ. (Chen Hongxin; Liu Zhengguang) |
| Abstract | According to the characteristics of medical image and wavelet transform, a scalable coding algorithm is presented, which can be used in image transmission by network. Wavelet transform makes up for the weakness of DCT transform and it is similar to the human visual system. The second generation of wavelet transform, the lifting scheme, can be completed by integer form, which is divided into several steps, and they can be realized by calculation form integer to integer. Lifting scheme can simplify the computing process and increase transform precision. According to the property of wavelet sub-bands, wavelet coefficients are organized on the basis of the sequence of their importance, so code stream is formed progressively and it is scalable in resolution. Experimental results show that the algorithm can be used effectively in medical image compression and suitable to long-distance browse |
| Starting Page | 6360 |
| Ending Page | 6363 |
| File Size | 380276 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780387414 |
| DOI | 10.1109/IEMBS.2005.1615952 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-01-17 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image coding Biomedical imaging Wavelet transforms Low pass filters Wavelet analysis Algorithm design and analysis Frequency Humans Visual system Streaming media |
| Content Type | Text |
| Resource Type | Article |
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