压缩感知框架下的太阳图像重建方法

doi:10.3969/j.issn.1001-2400.2013.01.014

Abstract

Abstract:

One of the important goals of the developing antenna array of solar imaging is how to decrease the cell number of the array, due to the contradiction between limited budget and massive antennas. Inspired by the ability of compressed sensing to recover exactly the original signal from highly sub-Nyquist-rate samples and the sparse characters of solar image, this paper proposes a solar image reconstruction method based on the compressive sensing theory. The effectiveness of this scheme is illustrated by experiments of both simulated solar image and real astronomical image. Results show superiority of the proposed method in the resolution of the adjacent point source, the shape maintenance of the extanded source and the dynamic range.

Key words: image reconstruction, compressive sensing, synthetic aperture, array configuration

CLC Number:

TN95

WANG Shuzhen;LI Li;ZOU Zijian;ZHANG Xiaoping. Research on the solar image reconstruction method based on compressive sensing[J].J4, 2013, 40(1): 76-80.

References

［1］王书振, 张昕, 徐国华. 改进最大熵算法重建日像仪太阳图像［J］. 中国科学院研究生院学报, 2005, 22(6): 685-689.
Wang Shuzhen, Zhang Xin, Xu Guohua. Interferometric Solar Image Reconstruction Using Improved Maximum Entropy Method ［J］. Journal of the Graduate School of the Chinese Academy of Science, 2005, 22(6): 685-689.
［2］王书振. 日像仪天线阵系统设计研究［D］. 西安: 西安电子科技大学, 2005.
［3］ Frieden B R. Restoring with Maximum Likelihood and Maximum Entropy ［J］. Opt Soc Am, 1972, 62(4): 511-518.
［4］ Cornwell T J, Evans K F. A Simple Maximum Entropy Deconvolution Algorithm ［J］. Astronomy and Astrophysics, 1985, 143(1): 77-83.
［5］ Jackett C J, Turner P J, Lovell J L, et al. Deconvolution of MODIS Imagery Using Multiscale Maximum Entropy ［J］. Remote Sensing Letters, 2011, 2(3): 179-187.
［6］ Schwarz U J. The Method ‘CLEAN’-Use, Misuse and Variations ［C］//Groningen. Netherlands: Astrophysics and Space Science Library, 1978: 261-269.
［7］ Clark B G. An Efficient Implementation of the Algorithm ‘CLEAN’ ［J］. Astronomy and Astrophysics, 1980, 89(3): 377-378.
［8］ Donoho D L. Compressed Sensing ［J］. IEEE Trans on Information Theory, 2006, 52(4): 1289-1306.
［9］ Candes E. Compressive Sampling ［C］//Proceedings of the International Congress of Mathematicians. Madrid: American Mathmatical Society, 2006: 1433-1452.
［10］ Candes E, Tao T. Near Optimal Signal Recovery from Random Projections: Universal Encoding Strategies?［J］. IEEE Trans on Information Theory, 2006, 52(12): 5406-5425.
［11］ Tsaig Y, Donoho D. Extensions of Compressed Sensing ［J］. Signal Processing, 2006, 86(3): 549-571.
［12］李军, 邢孟道, 张磊, 等. 一种高分辨的稀疏孔径ISAR成像方法［J］. 西安电子科技大学学报, 2010, 37(3): 441-453.
Li Jun, Xing Mengdao, Zhang Lei, et al. High Resolution Imaging Method for the Sparse Aperture of ISAR ［J］. Journal of Xidian University, 2010, 37(3): 441-453.
［13］ Candes E, Romberg J, Tao T. Robust Uncertainty Principles: Exact Signal Reconstruction from Highly Incomplete Frequency Information ［J］. IEEE Trans on Information Theory, 2006, 52(2): 489-509.
［14］ Michailovich O V. An Iterative Shrinkage Approach to Total-Variation Image Restoration ［J］. IEEE Trans on Image Processing, 2011, 20(5): 1281-1299.
［15］ Yang J F, Zhang Y, Yin W T. A Fast Alternating Direction Method for TVL1_L2 Signal Reconstruction From Partial Fourier Data ［J］. IEEE Journal of Selected Topics in Signal Processing, Special Issue on Compressed Sensing, 2010, 4(2): 288-297.
［16］ Wang Y L, Yang J F, Yin W T, et al. A New Alternating Minization Algorithm for Total Variation Image Reconstruction ［J］. SIAM Journal on Imaging Sciences, 2008, 1(3): 248-272.
［17］ Laasmaa M, Vendelin M, Peterson P, et al. Application of Regularized Richardson-Lucy Algorithm for Deconvolution of Confocal Microscopy Images ［J］. Journal of Microscopy, 2011, 243(2): 124-140.

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Research on the solar image reconstruction method based on compressive sensing

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