A Huber Function based Restoration Algorithm for Astronomy Image Compression

被引：2
|
作者：
Xin, Lei [1 ]
Li, Feng [1 ]
Yang, Xue [1 ]
Sun, Shijie [2 ]
Zhou, Yu [3 ]
Liu, Zhijia [3 ]
机构：
[1] Qian Xuesen Lab Space Technol, Beijing, Peoples R China
[2] Beihang Univ, Sch Instrumentat & Optoelect Engn, Beijing, Peoples R China
[3] DFH Satellite Co Ltd, Beijing, Peoples R China
来源：
2021 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC 2021) | 2021年
基金：
中国国家自然科学基金;
关键词：
compressed sensing; Huber function; image compression; restoration algorithm;
D O I：
10.1109/I2MTC50364.2021.9459970
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A new restoration algorithm based on Huber function for astronomy image compression was proposed in this paper. A combinatorial sensing matrix based on noiselet transform and subsample matrix was built for image acquisition. A restoration algorithm based on Huber function was introduced to reconstruct the signal. Peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) were used to evaluate the performance of the proposed algorithm. Compared with the standard compression algorithms, including JPEG and iterative shrinkage thresholding algorithm (ISTA) based reconstruction algorithm, the results obtained by the proposed algorithm are of higher structural similarity and PSNR. The proposed algorithm is suitable for the application scenarios of astronomy images with large data volume and high redundancy.
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收藏
页数：5
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