An image compression method for coal mine undergroud
-
摘要: 针对煤矿井下视频监控图像数据量大而导致传输、存储困难等问题,提出了一种基于改进压缩感知算法的图像压缩方法。首先采用Coiflet2小波变换原理对采集图像数据进行稀疏化,然后通过测量矩阵对稀疏化的图像数据进行测量,得到测量数据,最后采用正交匹配追踪算法和小波反变换重构图像。实验结果表明,该方法有效压缩了图像大小,且能够很好地还原图像。
-
关键词:
- 井下图像 /
- 视频监控 /
- 压缩感知 /
- Coiflet2小波变换
Abstract: For difficult transmission and storage of a large of video monitoring image data of coal mine underground, an image compression method was proposed which was based on improved compressive sending algorithm. Firstly, collected images data are spared by Coiflet2 wavelet transform principle. Secondly, the spared data is measured by measurement matrix to get measurement data. Finally, the images are refactored by orthogonal matching tracking algorithm and inverse transformation. The experimental results show that the method can effectively compress image and reconstruct the image.-
Key words:
- underground image /
- video monitoring /
- compressive sensing /
- Coiflet2 wavelet transform
点击查看大图
计量
- 文章访问数: 57
- HTML全文浏览量: 9
- PDF下载量: 2
- 被引次数: 0