| Wavelet sparse transform optimization in image reconstruction based on compressed sensing | |
| Ziran, Wei1,2; Huachuang, Wang1; Jianlin, Zhang1 | |
| 2017 | |
| 会议名称 | IOP Conference Series: 3rd International Conference on Advances in Energy, Environment and Chemical Engineering |
| 会议录名称 | 1755-1307 |
| 卷号 | 69 |
| 期号 | 1 |
| 页码 | 012165 |
| 摘要 | The high image sparsity is very important to improve the accuracy of compressed sensing reconstruction image, and the wavelet transform can make the image sparse obviously. This paper is the optimization method based on wavelet sparse transform in image reconstruction based on compressed sensing, and we have designed a restraining matrix to optimize the wavelet sparse transform. Firstly, the wavelet coefficients are obtained by wavelet transform of the original signal data, and the wavelet coefficients have a tendency of decreasing gradually. The restraining matrix is used to restrain the small coefficients and is a part of image sparse transform, so as to make the wavelet coefficients more sparse. When the sampling rate is between 0. 15 and 0. 45, the simulation results show that the quality promotion of the reconstructed image is the best, and the peak signal to noise ratio (PSNR) is increased by about 0.5dB to 1dB. At the same time, it is more obvious to improve the reconstruction accuracy of the fingerprint texture image, which to some extent makes up for the shortcomings that reconstruction of texture image by compressed sensing based on the wavelet transform has the low accuracy. © Published under licence by IOP Publishing Ltd. |
| 关键词 | Compressed sensing - Image processing - Image reconstruction - Signal reconstruction - Signal to noise ratio - Wavelet transforms |
| 收录类别 | Ei |
| 语种 | 英语 |
| EI分类号 | 2017-2146 |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ioe.ac.cn/handle/181551/9014 |
| 专题 | 光电探测与信号处理研究室（五室） |
| 作者单位 | 1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu; 610209, China; 2.University of Chinese Academy of Sciences, Beijing; 100039, China |
| 推荐引用方式 GB/T 7714 | Ziran, Wei,Huachuang, Wang,Jianlin, Zhang. Wavelet sparse transform optimization in image reconstruction based on compressed sensing[C],2017:012165. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2017-2146.pdf（822KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 请求全文 | ||
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