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] [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]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.