Username   Password       Forgot your password?  Forgot your username? 

 

A Novel Underwater Image Restoration Algorithm

Volume 14, Number 7, July 2018, pp. 1513-1520
DOI: 10.23940/ijpe.18.07.p15.15131520

Yongxin Wanga,b and Ming Diaoa

aCollege of Information and Communication Engineering, Harbin Engineering University, Harbin, 150001, China
bThe Higher Educational Key Laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province, Harbin University of Science and Technology, Harbin, 150080, China

(Submitted on March 19, 2018; Revised on May 4, 2018; Accepted on June 7, 2018)

Abstract:

This paper proposes a novel image restoration algorithm to eliminate light attenuation in underwater environments. The proposed algorithm employs the distance-dependent formation to model the degradation process where light travels in underwater. We use a homomorphic filter to get rid of the non-linear in the distance-dependent model. The restoration underwater image is then obtained by solving a Poisson equation that is derived based on the similar distance of neighbourhood pixels. The experiments show that the restoration image reveals improved contrast and clear details.

 

References: 12

          1. S. Borker, and S. Bonde, “Contrast Enhancement and Visibility Restoration of Underwater Optical Images Using Fusion,” International Journal of Intelligent Engineering & Systems, vol. 10, no. 4, pp. 217-225, April, 2017
          2. J. Y. Chiang, and Y. C. Chen, “Underwater Image Enhancement by Wavelength Compensation and Dehazing,” IEEE Transactions on Image Processing, vol. 21, no. 4, pp. 1756-1760, April, 2012
          3. S. Q. Duntley, “Light in the Sea”, Journal of the Optical Society of America, vol. 53, no. 2, 214-233, February 1963
          4. A. Galdran, D. Pardo, A. Picón, and A. Alvarez-Gila, “Automatic Red-Channel Underwater Image Restoration”. Journal of Visual Communication & Image Representation, vol. 26, no C, pp. 132-145, January, 2015
          5. K. He, J. Sun, and X. Tang, “Single Image Haze Removal Using Dark Channel Prior”, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 33, no. 12, pp. 2341-2353, December, 2011
          6. C. Y. Li, J. C. Guo, B. Wang, R. M. Cong, and Y. Zhang, “Single Underwater Image Enhancement based on Color Cast Removal and Visibility Restoration”, Journal of Electronic Imaging, vol. 25, no. 3, pp. 033012, March, 2016
          7. F. Petit, A. S. Capellelaize, and P. Carre, “Underwater Image Enhancement by Attenuation Inversion with Quaternions”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 1177-1180, Taipei, Taiwan, April, 2009
          8. K. Ran, Y. Y. Schechner, and Y. Y. Zeevi, “Variational Distance-Dependent Image Restoration”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1-8, Minneapolis, USA, June, 2007
          9. N. B. Shamsuddin, B. W. Ahmad, B. B. Baharudin, B. M. Rajuddin, and F. B, Mohd, “Image Enhancement of Underwater Habitat Using Color Correction based on Histogram,” Lecture Notes in Computer Science, Berlin, 2011
          10. S. Shwartz, E. Namer, and Y. Y. Schechner, “Blind Haze Separation”, Computer Vision and Pattern Recognition, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1984-1991, New York, USA, June, 2006
          11. M. Yang, and Z. Ji, “Underwater Color Image Enhancement based on Quaternion and Fuzzy Morphological Sieves”, Chinese Journal of Scientific Instrument, vol. 33, no. 7, pp.1601-1605, July, 2012
          12. L. F. Zhao, A. L. Wang, B. Wang, and X. M. Lv. “Image Enhancement Algorithm based on Sub Image Fusion”, Systems Engineering and Electronics, vol. 39, no. 12, pp. 2840-2848, December, 2017

                   

                  Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

                  Attachments:
                  Download this file (15-IJPE-2018-07-15.pdf)IJPE-2018-07-15[A Novel Underwater Image Restoration Algorithm]783 Kb
                   
                  This site uses encryption for transmitting your passwords. ratmilwebsolutions.com