Paper Title:
Processing of Sonar Image Based on Compressive Sensing
  Abstract

The particularity of the underwater acoustic channel has put forward a higher request for collection and efficient transmission of the underwater image. In this paper, based on the characteristics of sonar image, wavelet transform is used to sparse decompose the image, and selecting Gaussian random matrix as the observation matrix and using the orthogonal matching pursuit (OMP) algorithm to reconstruct the image. The experimental result shows that the quality of the reconstruction image and PSNR have gained great ascension compared to the traditional compression and processing of image based on the wavelet transform while they have the same measurement numbers in the coding portion. It provides a convenient for the sonar image’s underwater transmission.

  Info
Periodical
Advanced Materials Research (Volumes 301-303)
Chapter
Chapter 2: Measuring and Testing Techniques
Edited by
Riza Esa and Yanwen Wu
Pages
719-723
DOI
10.4028/www.scientific.net/AMR.301-303.719
Citation
Z. J. Xu, H. L. Dai, P. P. Cao, "Processing of Sonar Image Based on Compressive Sensing", Advanced Materials Research, Vols. 301-303, pp. 719-723, 2011
Online since
July 2011
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Price
$32.00
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