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Underwater images are difficult to process because of low contrast and color distortion. The in-water light propagation model was proposed several years ago but is relatively complicated to be used in reality. In this paper, the full underwater light propagation model is simplified to be used as the transmission model. On the basis of this model, we propose a new method, called maximum attenuation...
Underwater image segmentation is a key step for the analysis of the underwater target as segmentation quality will directly affect the stability and reliability of target recognition and tracking. A novel segmentation method is proposed in this paper that can help to solve the edge expansion and contour deformation problems in traditional segmentation methods. Firstly, the dark channel prior algorithm...
One of the key problem in underwater imaging detection is to overcome backscatter effect. It causes the decrease of image quality. Under normal illumination condition high power in the close range engender great backscatter and low power in the far distance limit detection range. In order to solve this problem, an inhomogeneous illumination system was built. The power distribution of inhomogeneous...
This paper presents a new approach of image decomposition for underwater target detection by inhomogeneous illumination based on G-Space and Partial Differential Equation (PDE). Underwater target images with high contrast visibility (less back-scattering) can be obtained within the inhomogeneous illumination field which power density is allocated inversely propotional to the rule of the light attenuation...
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