Fuzzy-Based Adaptive Denoising of Underwater Images

Author:

Srividhya K.ORCID,Ramya M. M.

Funder

Naval Research Board-DRDO

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference30 articles.

1. Hou, W., Weidemann, A., Gray, D.: Improving underwater imaging with ocean optics research. In: 2008 NRL Review Ocean Science and Technology, pp. 195–196 (2008)

2. Ramadass, G.A., Ramesh, S., Selvakumar, J.M., Ramesh, R., Subramanian, A.N., Sathianarayanan, D., Harikrishnan, G., et al.: Deep-ocean exploration using remotely operated vehicle at gas hydrate site in Krishna-Godavari basin, Bay of Bengal. Curr. Sci. (00113891) 99(6), 809 (2010)

3. Dong-xiao, J., Yu-rong, G.: Underwater image de-noising algorithm based on Nonsubsampled Contourlet transform and total variation. IEEE International Conference on Computer Science and Information Processing, pp. 76–80 (2012)

4. Perona, P., Malik, J.: Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12(7), 629–639 (1990)

5. Donoho, D.L.: De-noising by soft-thresholding. IEEE Trans. Inf. Theory 41(3), 613–627 (1995)

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