Share Email Print
cover

Proceedings Paper

New approach for underwater imaging and processing
Author(s): Yanan Wen; Weijian Tian; Bing Zheng; Guozun Zhou; Hui Dong; Qiong Wu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Due to the absorptive and scattering nature of water, the characteristic of underwater image is different with it in the air. Underwater image is characterized by their poor visibility and noise. Getting clear original image and image processing are two important problems to be solved in underwater clear vision area. In this paper a new approach technology is presented to solve these problems. Firstly, an inhomogeneous illumination method is developed to get the clear original image. Normal illumination image system and inhomogeneous illumination image system are used to capture the image in same distance. The result shows that the contrast and definition of processed image is get great improvement by inhomogeneous illumination method. Secondly, based on the theory of photon transmitted in the water and the particularity of underwater target detecting, the characters of laser scattering on underwater target surface and spatial and temporal characters of oceanic optical channel have been studied. Based on the Monte Carlo simulation, we studied how the parameters of water quality and other systemic parameters affect the light transmitting through water at spatial and temporal region and provided the theoretical sustentation of enhancing the SNR and operational distance.

Paper Details

Date Published: 21 May 2014
PDF: 8 pages
Proc. SPIE 9100, Image Sensing Technologies: Materials, Devices, Systems, and Applications, 91000S (21 May 2014); doi: 10.1117/12.2050139
Show Author Affiliations
Yanan Wen, Qingdao Academy for Opto-Electronics Engineering (China)
Weijian Tian, Qingdao Academy for Opto-Electronics Engineering (China)
Bing Zheng, Qingdao Academy for Opto-Electronics Engineering (China)
Guozun Zhou, Qingdao Academy for Opto-Electronics Engineering (China)
Hui Dong, Qingdao Academy for Opto-Electronics Engineering (China)
Qiong Wu, Qingdao Academy for Opto-Electronics Engineering (China)


Published in SPIE Proceedings Vol. 9100:
Image Sensing Technologies: Materials, Devices, Systems, and Applications
Nibir K. Dhar; Achyut K. Dutta, Editor(s)

© SPIE. Terms of Use
Back to Top