Enhancement of Underwater Imaging with the algorithm of the Advanced Multi-scale Retinex
Keywords:
Image enhancement, Advanced Multi-scale Retinex algorithm, standard deviation
Abstract
For the problem of the absorbing and scattering for Red in underwater imaging, the AMSR is put
awarded. The red information of the underwater imaging is read by Matlab. The image
enhancement used by Advanced Multi-scale Retinex algorithm. The Advanced Multi-scale
Retinex algorithm is with the truncation of k time’s standard deviation and the figure between
the parameter k and the sigma is made. The best k is got for the images of various depths and
the best k is between 1 to 1.5. The result shows that the AMSR is good method of enhancement
for underwater imaging.
References
[1] Zhang Shu, Wang Ting, Dong Junyu, et al. Underwater image enhancement via extended
multi-scale Retinex [J]. Neurocomputing, 2017, 245: 1-9
[2] Sun Chuandong, Chen Liangyi, Gao Limin, et al. Water optical properties and their effect
on underwater imaging [J]. Journal of Applied Optics, 2000, 21(4): 39-46
[3] Jiang Xing-Fang, Wang Ge, Shen Wei-Min. Method of color image enhancement using
color advanced Retinex [J]. Journal of Optoelectronics Laser. 2008, 19(10): 1402-1404 (in
Chinese)
[4] Jiang Xing-Fang, Tao Chun-Kan. Physical idea of the Retinex theory in color image
enhancement and the influence of image quality in different intercepted region of image
intensity [J]. Optical Technique. 2007, 33(1): 127-129 (in Chinese)
[5] Z. Rahman, D. J. Jobson , G. A. Woodell . Multi-scale Retinex for color image
enhancement, in: Proceedings on International Conference on Image Processing, 1996, IEEE,
1996: 1003–1006
[6] Xi Qiao, Jianhua Bao, Hang Zhang, et al. Underwater image quality enhancement of seacucumbers based on improved histogram equalization and wavelet transform [J]. Information
Processing in Agriculture. 2017, 4: 206-213
[7] Jiang Xing-Fang, Jin Long, Tao Chun-Kan. New method for image fusing based on MSR
and edge extraction [J]. Opto-Electronic Engineering. 2006, 33(3): 110-113+118 (in Chinese)
[8] E. Quevedo, E. Delory, G. M. Callico, et al. Underwater video enhancement using
multi-camera super-resolution [J]. Optics Communications. 2017, 404: 94-102
[9] Chongyi Li, Jichang Guo, Chunle Guo, et al. A hybrid method for underwater image
correction [J]. Pattern recognition Letters. 2017, 94: 62-67
[10] Ahmad Shahrizan Abdul Ghani, Nor Ashidi Mat Isa. Automatic system for improving
underwater image contrast and color through recursive adaptive histogram modification [J].
Computers and Electronics in Agriculture. 2017, 141: 181-195
[11] Srikanth Vasamsetti, Neerja Mittal, Bala Chakravarthy Neelapu, et al. Wavelet based
perspective on variational enhancement technique for underwater imagery [J].
Neurocomputing. 2017, 245: 1-9
multi-scale Retinex [J]. Neurocomputing, 2017, 245: 1-9
[2] Sun Chuandong, Chen Liangyi, Gao Limin, et al. Water optical properties and their effect
on underwater imaging [J]. Journal of Applied Optics, 2000, 21(4): 39-46
[3] Jiang Xing-Fang, Wang Ge, Shen Wei-Min. Method of color image enhancement using
color advanced Retinex [J]. Journal of Optoelectronics Laser. 2008, 19(10): 1402-1404 (in
Chinese)
[4] Jiang Xing-Fang, Tao Chun-Kan. Physical idea of the Retinex theory in color image
enhancement and the influence of image quality in different intercepted region of image
intensity [J]. Optical Technique. 2007, 33(1): 127-129 (in Chinese)
[5] Z. Rahman, D. J. Jobson , G. A. Woodell . Multi-scale Retinex for color image
enhancement, in: Proceedings on International Conference on Image Processing, 1996, IEEE,
1996: 1003–1006
[6] Xi Qiao, Jianhua Bao, Hang Zhang, et al. Underwater image quality enhancement of seacucumbers based on improved histogram equalization and wavelet transform [J]. Information
Processing in Agriculture. 2017, 4: 206-213
[7] Jiang Xing-Fang, Jin Long, Tao Chun-Kan. New method for image fusing based on MSR
and edge extraction [J]. Opto-Electronic Engineering. 2006, 33(3): 110-113+118 (in Chinese)
[8] E. Quevedo, E. Delory, G. M. Callico, et al. Underwater video enhancement using
multi-camera super-resolution [J]. Optics Communications. 2017, 404: 94-102
[9] Chongyi Li, Jichang Guo, Chunle Guo, et al. A hybrid method for underwater image
correction [J]. Pattern recognition Letters. 2017, 94: 62-67
[10] Ahmad Shahrizan Abdul Ghani, Nor Ashidi Mat Isa. Automatic system for improving
underwater image contrast and color through recursive adaptive histogram modification [J].
Computers and Electronics in Agriculture. 2017, 141: 181-195
[11] Srikanth Vasamsetti, Neerja Mittal, Bala Chakravarthy Neelapu, et al. Wavelet based
perspective on variational enhancement technique for underwater imagery [J].
Neurocomputing. 2017, 245: 1-9
Published
2018-11-30
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