THz Super-Resolution Imaging Based on Complex Laplacian Prior Deconvolution Algorithm
文献类型：会议论文
| 作者 | Wang Y(王莹)1; Qi F(祁峰)2,3,4,5 ; Wang JK(汪晋宽)1
|
| 出版日期 | 2021 |
| 会议日期 | May 22-24, 2021 |
| 会议地点 | Kunming, China |
| 关键词 | THz Imaging Deconvolution Super-Resolution (SR) Laplacian Prior |
| 页码 | 7585-7588 |
| 英文摘要 | Due to the long wavelength of the Terahertz (THz) wave, the imaging quality is seriously deteriorated with diffraction. To solve this problem, a simple but very effective approach based on prior knowledge and wave nature was introduced in this paper. In this prior, the image gradients are represented by Laplacian to constrain the gradient of the high-resolution image and the enhanced image when performing single image super-resolution and sharpness enhancement. Moreover, the deconvolution algorithm is expended to a complex dimension. Low-Resolution (LR) THz image was simulated by convolution the High-Resolution (HR) image with real-measured Point-Spread Function (PSF) to ensure the applicability. The numerical experiments illustrate the efficiency and effectiveness of the proposed method in terms of Peak Signal-to-Noise Ratio (PSNR), Mean-Square Error (MSE) and Structural Similarity (SSIM). Super-Resolution (SR) results show that the proposed method has good performance in convergence and suppressing ringing or jaggy artifacts. |
| 产权排序 | 2 |
| 会议录 | 2021 33rd Chinese Control and Decision Conference (CCDC)
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISSN号 | 1948-9447 |
| ISBN号 | 978-1-6654-4089-9 |
| 源URL | [http://ir.sia.cn/handle/173321/29955]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Qi F(祁峰); Wang JK(汪晋宽) |
| 作者单位 | 1.School of communication science and engineering, Northeastern University, Liaoning Province, Shenyang, 110819, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, China 3.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, China 4.Key Lab of Image Understanding and Computer Vision, Liaoning Province, Shenyang, 110016, China 5.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, China |
| 推荐引用方式 GB/T 7714 | Wang Y,Qi F,Wang JK. THz Super-Resolution Imaging Based on Complex Laplacian Prior Deconvolution Algorithm[C]. 见:. Kunming, China. May 22-24, 2021. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。