Terahertz Image Super-Resolution Reconstruction Based on Complex Deconvolution Algorithm with Different Criteria
文献类型：会议论文
| 作者 | Wang Y(王莹)1,3,4,5; Qi F(祁峰)1,2,3,5 ; Wang JK(汪晋宽)4
|
| 出版日期 | 2021 |
| 会议日期 | November 12-14, 2021 |
| 会议地点 | Shanghai, China |
| 关键词 | THz Imaging Super-Resolution (SR) Complex Deconvolution criteria |
| 页码 | 74-78 |
| 英文摘要 | Super-Resolution (SR) is one of the most fundamental issues in THz imaging processing. Deconvolution is widely used in THz imaging SR problems. Heavy-tailed distribution has good performance in deconvolution for its capability to preserve edges. By making use of the wave nature of THz waves, complex deconvolution is employed for solving THz images. A complex deconvolution algorithm based on criteria is proposed in this paper. And three criteria are discussed to get the most optimal result. Compared with the traditional methods, which are set the index as a fixed value, our method is more flexible for obtaining clear edges. The measured PSF is used to analyze the THz image by a complex image blurred model. Experiments illustrate the efficiency and accuracy of the proposed method. All three criteria can solve the LR problem well. Relative to Peak Signal to Noise Ratio (PSNR) and information entropy, the SR result of Structural Similarity Index Measure (SSIM) is better visual. Thus, we prefer SSIM as the criterion in our work. |
| 源文献作者 | Association for Computing Machinery |
| 产权排序 | 1 |
| 会议录 | 2021 6th International Conference on Information Systems Engineering, ICISE 2021
 |
| 会议录出版者 | ACM |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-4503-8522-0 |
| 源URL | [http://ir.sia.cn/handle/173321/30757]  |
| 专题 | 沈阳自动化研究所_光电信息技术研究室 |
| 通讯作者 | Wang JK(汪晋宽) |
| 作者单位 | 1.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, China 2.University of Chinese Academy of Sciences, Beijing, China 3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, China 4.School of Communication Science and Engineering, Northeastern University, Shenyang, China 5.Shenyang Institute of Automation, Chinese Academy of Science, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Wang Y,Qi F,Wang JK. Terahertz Image Super-Resolution Reconstruction Based on Complex Deconvolution Algorithm with Different Criteria[C]. 见:. Shanghai, China. November 12-14, 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。