FPGA-based adaptive speckle suppression filter for underwater imaging sonar

Serge Karabchevsky, David Kahana, Ortal Ben-Harush, Hugo Guterman

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Underwater forward-looking imaging sonar (FLS) is widely used on stationary and moving platforms to overcome underwater visibility problems. The SONAR images are perturbed by a multiplicative noise called speckle, due to the coherent nature of the scattering phenomenon. Speckle reduction filters are necessary to optimize the images' exploitation procedures. The results of speckle filters may vary from one sensor and one wavelength to another; therefore, no generic de-speckling algorithm exists. Several studies have been carried out on speckle noise suppression on sidescan sonar, but the problem of speckle noise suppression for FLS has not yet been covered. A comparison of the most used classical speckle suppression filters as well as advanced wavelet-based ones was carried out. The Frost filter was found to be the most adequate for FLS data, but also the most computationally complex and not suitable for real-time processing. Two novel architectures for real-time and low-power field-programmable gate array (FPGA) implementation of the Frost speckle filter for underwater imaging sonar are presented. The proposed architectures have superior performance and power efficiency compared to standard software implementation.

Original languageEnglish
Article number5981406
Pages (from-to)646-657
Number of pages12
JournalIEEE Journal of Oceanic Engineering
Volume36
Issue number4
DOIs
StatePublished - 1 Oct 2011

Keywords

  • Adaptive filters
  • field-programmable gate array (FPGA)
  • sonar
  • speckle

Fingerprint

Dive into the research topics of 'FPGA-based adaptive speckle suppression filter for underwater imaging sonar'. Together they form a unique fingerprint.

Cite this