摘要
With the development of medical device, high quality medical image is widely used. Image compression makes it convenient for image storage and transmission. Based on classified vector quantization, an improved vector quantization compression method using structural similarity index and genetic algorithm is proposed. The proposed method is tested using public database and comparison study shows that it is efficient for medical image compression.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 238-241 |
| 页数 | 4 |
| ISBN（电子版） | 9781467373173 |
| DOI | |
| 出版状态 | 已出版 - 20 11月 2015 |
| 活动 | 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 - Auckland, 新西兰 期限: 15 6月 2015 → 17 6月 2015 |
出版系列
| 姓名 | Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 |
|---|
会议
| 会议 | 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 |
|---|---|
| 国家/地区 | 新西兰 |
| 市 | Auckland |
| 时期 | 15/06/15 → 17/06/15 |
指纹
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Zhang, W., Li, H., & Long, X. (2015). An improved classified vector quantization for medical image. 在 Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015 (页码 238-241). 文章 7334118 (Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, ICIEA 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIEA.2015.7334118