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Underwater image restoration method

An underwater image and image technology, applied in the field of image processing, can solve the problems of low contrast, blurred details, and color distortion of underwater images, and achieve the effects of strong real-time performance, accelerated operation speed, and complete color information

Active Publication Date: 2019-10-15
CHANGJIANG SURVEY PLANNING DESIGN & RES +2
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0008] The technical problem to be solved by the present invention is: aiming at the problems of low contrast, color distortion, fuzzy details and poor applicability of underwater images, it can quickly restore the acquired high-resolution underwater degraded images, remove the blurred details of the images, and restore Image complete color information

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Embodiment Construction

[0018] Workflow diagram of the present invention is as figure 2 As shown, an underwater image restoration method, the specific steps are:

[0019] Step 1: Install an underwater optical imaging camera on the underwater robot or imaging equipment, and use the underwater optical imaging camera to obtain underwater degradation images I λ ;

[0020] Step 2: In order to further improve the practicability of the algorithm, the input underwater degraded image I λ Perform discrete haar wavelet transform to obtain underwater degraded images with reduced size; due to the low-pass and smooth characteristics of light transmission distribution, a piecewise constant assumption about light transmission distribution is introduced. Based on this assumption, the discrete haar wavelet transformed The underwater degraded image is restored, and then a clear image is reconstructed.

[0021] The light received by the underwater optical imaging system includes three parts:

[0022] Direct compone...

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Abstract

The invention discloses an underwater image restoration method, which comprises the following steps: decomposing a high-resolution image obtained from an image acquisition end into four sub-images with reduced sizes by adopting discrete haar wavelet transform; estimating global background light of an underwater image by using a red channel, so that accurate estimation of the underwater backgroundlight is obtained; introducing a red and blue channel attenuation coefficient ratio and a red and green channel attenuation coefficient ratio, and applying a haze-lines defogging model to underwater image restoration; negating the red channel transmissivity obtained by the haze-lines prior clustering to serve as an initial red channel transmissivity estimation value; and finally, according to theobtained restored sub-image, obtaining a reconstructed restored image through inverse discrete haar wavelet transform. According to the underwater image restoration method, the color information of the restored image is more complete, and the real-time performance is higher.

Description

technical field [0001] The invention relates to a fast underwater image restoration method, which belongs to the technical field of image processing. Background technique [0002] In recent years, underwater image perception and analysis technology has developed rapidly and has been widely used in marine geological survey, marine biological detection and protection, marine military and other fields. The application of underwater images must first obtain underwater images with complete information. However, there are absorption and scattering effects in the process of light propagation underwater, which leads to problems such as low contrast, blurred details, and serious color cast in the collected underwater images. , which has a serious impact on the subsequent image analysis work. [0003] In order to obtain underwater images with complete information, most of the images acquired by the underwater image acquisition front-end are underwater images with high resolution, and...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10004G06T2207/10024G06T2207/20064G06T5/90G06T5/70
Inventor 余大兵李庆武张建清许金鑫章倩刘润泽李鹏王峰
Owner CHANGJIANG SURVEY PLANNING DESIGN & RES