Restoration Method of Underwater Color Fuzzy Image
A blurred image and color technology, applied in the field of image processing, can solve the problems of high algorithm complexity and incomplete restoration of underwater images, and achieve the effect of improving contrast information, simple and effective algorithm implementation, and compensating for color distortion
Inactive Publication Date: 2018-11-23
HOHAI UNIV CHANGZHOU
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Although these methods have achieved good restoration results, they all need to consider the influence of the underwater environment, the algorithm complexity is high, and the degraded underwater images have not been completely restored.
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[0030] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0031] Such as figure 1 As shown, the restoration method of the underwater color blurred image includes the following steps:
[0032] Step 1: Read a pair of underwater color blurred image λ(x, y), and use the median filter method to perform light homogenization operation on it, and the image after light homogenization in: is the image obtained after median filtering of λ(x,y), k is a constant, and k=0.6.
[0033] Step 2: Establish an underwater optical image imaging model based on the dark channel prior theory: I(x,y)=J(x,y)t(x,y)+A(1-t(x,y)), where : I(x,y) is the image after illumination homogenization, J(x,y) is the deblurred image after restoration, A is the underwater light intensity,...
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The invention discloses an underwater color blurred image restoration method. The method includes the steps that a median filtering method is used for achieving illumination homogenization operation on an image; according to the dark channel priority theory, an underwater optical imaging model I(x,y)=J(x,y)t(x,y)+A(1-t(x,y)) is set up; the water body light intensity A is obtained in a self-adaption mode, a bilateral filtering method is used for obtaining the water body transmissivity t(x,y), and A and t(x,y) are substituted into the underwater optical imaging model to obtain a deblurred image (please see the formula in the specification), wherein t0 represents the lower limiting value of the water body transmissivity; on the basis that all color channel histograms of the deblurred image are analyzed, middle gray level regions of all channels are processed in a quantification mode. Image blur caused by water body absorption and the particulate matter scattering effect can be eliminated well, and interference with own colors of the image by water body colors can be well removed.
Description
technical field [0001] The invention relates to a restoration method of an underwater color fuzzy image, belonging to the technical field of image processing. Background technique [0002] The main characteristics of the brightness of the underwater image: the brightness of the center of the light emitted by the artificial light source is the strongest and gradually weakens in the radial direction, which is reflected on the image as the uneven distribution of the background gray level; at the same time, due to the scattering of light by the particles in the water during the underwater imaging process The effect and the absorption of light by the water body make the underwater image uneven and overall blurred. In order to obtain a uniformly illuminated underwater color image, the luminance component is firstly homogenized. [0003] A priori theory of dark primary colors is proposed in the prior art. Dark primary colors usually exist in shadows, black, and brightly colored ob...
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IPC IPC(8): G06T5/00
Inventor 曹美盛惠兴程亚玲李庆武周妍俞楷仇春春郭晶晶程海粟
Owner HOHAI UNIV CHANGZHOU