• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Adaptive Algorithm in Image Reconstruction Based on Information Geometry

Vol. 15, No. 2, February 28, 2021
10.3837/tiis.2021.02.005, Download Paper (Free):

Abstract

Compressed sensing in image reconstruction has attracted attention and many studies are proposed. As we know, adding prior knowledge about the distribution of the support on the original signal to CS can improve the quality of reconstruction. However, it is still difficult for a recovery framework adjusts its strategy for exploiting the prior knowledge efficiently according to the current estimated signals in serial iterations. With the theory of information geometry, we propose an adaptive strategy based on the current estimated signal in each iteration of the recovery. We also improve the performance of existing algorithms through the adaptive strategy for exploiting the prior knowledge according to the current estimated signal. Simulations are presented to validate the results. In the end, we also show the application of the model in the image.


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Cite this article

[IEEE Style]
M. Wang, Z. H. Ning, J. Yu and C. B. Xiao, "Adaptive Algorithm in Image Reconstruction Based on Information Geometry," KSII Transactions on Internet and Information Systems, vol. 15, no. 2, pp. 461-484, 2021. DOI: 10.3837/tiis.2021.02.005.

[ACM Style]
Meng Wang, Zhen Hu Ning, Jing Yu, and Chuang Bai Xiao. 2021. Adaptive Algorithm in Image Reconstruction Based on Information Geometry. KSII Transactions on Internet and Information Systems, 15, 2, (2021), 461-484. DOI: 10.3837/tiis.2021.02.005.