THz Super-Resolution Imaging Based on Complex Laplacian Prior Deconvolution Algorithm
Wang Y(王莹)3; Qi F(祁峰)1,2,4,5; Wang JK(汪晋宽)3
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
内容类型会议论文
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.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, China
3.School of communication science and engineering, Northeastern University, Liaoning Province, Shenyang, 110819, 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.
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