Open Access
Issue
JNWPU
Volume 37, Number 1, February 2019
Page(s) 80 - 86
DOI https://doi.org/10.1051/jnwpu/20193710080
Published online 03 April 2019
  1. Han Y, Tian X, Zhou F, et al. A Real-Time 3-D Underwater Acoustical Imaging System[J]. IEEE Journal of Oceanic Engineering, 2014, 39(4): 620-629 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  2. Fei T, Kraus D, Zoubir A M. Contributions to Automatic Target Recognition Systems for Underwater Mine Classification[J]. IEEE Trans on Geoscience & Remote Sensing, 2014, 53(1): 505-518 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  3. Hel-Or Y, Shaked D. A Discriminative Approach for Wavelet Denoising[J]. IEEE Trans on Image Processing, 2008, 17(4): 443-457 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  4. Buades A, Coll B, Morel J M. A Non-Local Algorithm for Image Denoising[C]//IEEE International Conference on Computer Vision and Pattern Recognition, 2005, 2: 60-65 [Google Scholar]
  5. Dabov K, Foi A, Katkovnik V, et al. Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering[J]. IEEE Trans on Image Processing, 2007, 16(8): 2080-2095 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  6. Lebrun M. An Analysis and Implementation of the BM3D Image Denoising Method[J]. Image Processing on Line, 2012, 2(25): 175-213 [Article] [CrossRef] [Google Scholar]
  7. Dabov K, Foi A, Katkovnik V, et al. Color Image Denoising via Sparse 3D Collaborative Filtering with Grouping Constraint in Luminance-Chrominance Space[C]//IEEE International Conference on Image Processing, 2007: 313-316 [Google Scholar]
  8. Maggioni M, Foi A. Joint Removal of Random and Fixed-Pattern Noise through Spatiotemporal Video Filtering[J]. IEEE Trans on Image Processing, 2014, 23(10): 4282-4296 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  9. Zhang Zhexi. Research on Image Denoising Algorithm Based on BM3D[D]. Xi'an, Xidian University, 2017 (in Chinese) [Google Scholar]
  10. Zhu W, Liang S, Wei Y, et al. Saliency Optimization from Robust Background Detection[C]//IEEE International Conference on Computer Vision and Pattern Recognition, 2014: 2814-2821 [Google Scholar]
  11. Zheng Xiongbo, Zhang Xiaowei. Study to the Application of Multiwavelets Transforms in Sonar Image Denoising[J]. Journal on Numerical Methods and Computer Applications, 2011, 32(2): 89-96 (in Chinese) [Article] [Google Scholar]
  12. Davis A, Lugsdin A. High Speed Underwater Inspection for Port and Harbour Security Using Coda Echoscope 3D Sonar[C]//IEEE International Conference on Oceans, 2005: 2006-2011 [Google Scholar]
  13. Arrington C M, Carr T H, Mayer A R, et al. Neural Mechanisms of Visual Attention:Object-Based Selection of a Region in Space[J]. Journal of Conference Neuroscience, 2014, 12(suppl 2): 106-117 [Article] [CrossRef] [Google Scholar]
  14. Achanta R, Shaji A, Smith K, et al. SLIC Superpixels[R]. EPFL Technical Report 149300, 2010 [Google Scholar]
  15. Yang C, Zhang L, Lu H, et al. Saliency Detection via Graph-Based Manifold Ranking[C]//IEEE International Conference on Computer Vision and Pattern Recognition, 2013: 3166-3173 [Google Scholar]
  16. Huo Guanying, Liu Jing, Li Qingwu, et al. Side-Scan Sonar Image Segmentation Algorithm Based on Space-Constrained FCM and MRF[J]. Chinese Journal of Scientific Instrument, 2017, 38(1): 226-235 (in Chinese) [Article] [Google Scholar]

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