基于差分和神经网络的同步辐射光源图像压缩方法
文献类型：期刊论文
| 作者 | 符世园 ; 汪璐; 程耀东; 陈刚
|
| 刊名 | 国防科技大学学报
 |
| 出版日期 | 2022 |
| 卷号 | 44期号:5页码:53-62 |
| ISSN号 | 10012486 |
| DOI | 10.11887/j.cn.202205006 |
| 文献子类 | Article |
| 英文摘要 | For the common image lossless compression methods cannot work well. Thus, a lossless compression method for synchrotron radiation source images based on image difference and neural network was proposed. The image difference method was used to reduce the linear correlations among images. The neural network was trained to learn the nonlinear correlations in the images sequence, and the pixel value was compressed with arithmetic coding using the predicted distribution. To reduce the predicting time and coding timethe pixel value was splitted into two parts for parallel compression. The tests based on the images of Shanghai Synchrotron Radiation Facility show that the proposed method can improve more than 20% in compression ratio compared to PNG (portable network graphics)JPEG2000, FLIF (free lossless image format)and the pixel value split can reduce 30% of the time in predicting and coding. © 2022 National University of Defense Technology. All rights reserved. |
| 语种 | 中文 |
| 源URL | [http://ir.ihep.ac.cn/handle/311005/300444]  |
| 专题 | 高能物理研究所_计算中心 高能物理研究所_管理与技术支持 |
| 作者单位 | 中国科学院高能物理研究所 |
| 推荐引用方式 GB/T 7714 | 符世园,汪璐,程耀东,等. 基于差分和神经网络的同步辐射光源图像压缩方法[J]. 国防科技大学学报,2022,44(5):53-62. |
| APA | 符世园,汪璐,程耀东,&陈刚.(2022).基于差分和神经网络的同步辐射光源图像压缩方法.国防科技大学学报,44(5),53-62. |
| MLA | 符世园,et al."基于差分和神经网络的同步辐射光源图像压缩方法".国防科技大学学报 44.5(2022):53-62. |
入库方式： OAI收割
来源：高能物理研究所
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