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Underwater image enhancement method in combination with bilateral filtering and Retinex

A bilateral filtering and underwater image technology, applied in the field of image processing, can solve the problems of color degradation, uneven illumination, low signal-to-noise ratio, etc., achieve good color, improve image contrast, and improve the effect of image signal-to-noise ratio

Inactive Publication Date: 2018-05-18
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] Aiming at the problems of low signal-to-noise ratio, uneven illumination, and color degradation in underwater degraded images, the present invention proposes an underwater image enhancement method combining bilateral filtering and Retinex to improve the visual effect of underwater images. For details, see Described below:

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  • Underwater image enhancement method in combination with bilateral filtering and Retinex
  • Underwater image enhancement method in combination with bilateral filtering and Retinex
  • Underwater image enhancement method in combination with bilateral filtering and Retinex

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Embodiment 1

[0049] The embodiment of the present invention provides an underwater image enhancement method combining bilateral filtering and Retinex, see figure 1 , the method includes the following steps:

[0050] 101: Convert the input image from the RGB color space to the HSV color space; for the brightness component V, combine bilateral filtering to filter out image noise, and for the denoised brightness component V 1 Based on the multi-scale Gaussian center surrounding the Retinex, the reflection component R and the illumination component L are separated;

[0051] 102: For the separated illumination component L, use gamma correction to adjust the illumination to obtain a new illumination component L';

[0052] 103: Based on the Retinex theory, realize the fusion enhancement of the illumination component and the reflection component, and obtain the brightness component V corrected for uneven illumination 2 ;

[0053] 104: the enhanced luminance component V 2 Recombine with hue com...

Embodiment 2

[0058] The scheme in embodiment 1 is further introduced below in conjunction with specific examples and calculation formulas, see the following description for details:

[0059] 201: Brightness separation of the input underwater image;

[0060] Among them, this method converts the input underwater color image from the RGB color space to the HSV color space in order to separate the brightness components. The HSV color space is an intuitive color model for users and is widely used in many image editing tools. In the HSV color space, H represents the hue component, S represents the saturation component, and V represents the brightness component.

[0061] Wherein, the steps of the above color space conversion are well known to those skilled in the art, and are not described in detail in this embodiment of the present invention.

[0062] 202: Luminance component denoising based on bilateral filtering;

[0063] In the process of underwater imaging, due to the effects of suspended...

Embodiment 3

[0091] The following combined with specific examples, figure 2 and image 3 , carry out feasibility verification to the scheme in embodiment 1 and 2, see the following description for details:

[0092] In order to verify the effectiveness of this method, 10 underwater images are used to construct a test sample set. figure 2 Some examples of processing results are listed, the left side is the color degraded underwater image, and the right side is the enhanced result image of this method. Compared with the original image, the blue-green tone of the enhanced image is removed, the contrast and detail clarity of the image are significantly improved, and the phenomenon of uneven illumination is effectively solved.

[0093] image 3 Shown is the comparison between the processing results of this method and the UCM method proposed by Iqbal et al. and the traditional histogram equalization. Among them, the first row is the original degraded underwater image, the second row is the ...

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Abstract

The invention discloses an underwater image enhancement method in combination with bilateral filtering and Retinex. The method comprises the steps of converting an RGB color space of an input image toan HSV color space; for a brightness component, filtering image noises in combination with the bilateral filtering, and separating out a reflective component and an irradiation component based on Gaussian center surrounding multi-scale Retinex for the denoised brightness component; for the separated irradiation component, adjusting illumination by adopting gamma correction to obtain a new irradiation component; realizing fusion enhancement of the irradiation component and the reflective component based on a Retinex theory, thereby obtaining a brightness component after non-uniform illumination correction; recombining the enhanced brightness component with a hue component and a saturation component, and converting the HSV color space to the RGB color space; calculating grayscale value ratios of red and green channels to a blue channel, and remapping the grayscale values of the three channels; and finally performing histogram equalization on the R, G and B channels of the image to realize image contrast enhancement. According to the method, the blue and green color deviation of the underwater image is effectively eliminated, so that the image contrast is improved; and the partial image noises are filtered, so that the signal-noise ratio of the image is increased.

Description

technical field [0001] The present invention relates to the field of image processing in computer vision technology, in particular to an underwater image enhancement method combining bilateral filtering and Retinex, and in particular to the degraded image enhancement technology obtained from underwater shooting by ordinary cameras. Background technique [0002] Obtaining clear underwater images is an important technology in marine engineering. Such as marine biological monitoring, underwater species observation, and underwater geography and bioenvironment assessment, all need underwater imaging technology, but underwater imaging is full of challenges. The light reflected by the target object deviates from the original propagation direction due to the scattering of the water body, resulting in a "fog" effect in the underwater image and low image contrast; the water body selectively absorbs and attenuates light of different wavelengths, causing the underwater image to degrade ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T5/40G06T7/90
CPCG06T5/40G06T7/90G06T2207/20028G06T5/70
Inventor 徐岩曾祥波孙美双
Owner TIANJIN UNIV
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