A Method of Seabed Soil Image Reconstruction Based on Compressed Sensing

Zhi Jing Xu; Li Jiang; Huan Lei Dai

doi:10.4028/www.scientific.net/AMR.487.3

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A Method of Seabed Soil Image Reconstruction Based on Compressed Sensing
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 487A Method of Seabed Soil Image Reconstruction Based...

A Method of Seabed Soil Image Reconstruction Based on Compressed Sensing

Abstract:

Compressed Sensing(CS) can project a high dimensional signal to a low dimensional signal by a random measurement matrix . As the projection calculation is time-consuming in the process of reconstruction, the reconstruction speed is greatly affected.In order to improve the reconstruction speed , some improvement in the selection of the measurement matrix and the design of the reconstruction algorithm is made. The wavelet transform is used to sparse decompose the image, and the very sparse random projection matrix is used as the measurement matrix, after the image block processing we use the OMP algorithm to reconstruct the image. The experimental result shows that this method could reduce the algorithm time and improved the reconstruction speed greatly.

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Periodical:

Advanced Materials Research (Volume 487)

Pages:

3-6

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.487.3

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Online since:

March 2012

Authors:

Zhi Jing Xu, Li Jiang, Huan Lei Dai

Keywords:

Compressed Sensing, OMP Algorithm, Random Projection, Signal Reconstruction

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