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An underwater image restoration and denoising method

An underwater image and image technology, applied in the field of image processing, can solve problems such as inapplicability, inability to remove noise, and no consideration of underwater imaging noise, and achieve the effect of improving restoration accuracy and removing noise.

Active Publication Date: 2021-08-24
SOUTHWESTERN UNIV OF FINANCE & ECONOMICS
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Problems solved by technology

In the prior art, the restoration algorithm based on dark channel prior is ultimately based on local pixel prior information for restoration, and the result is prone to block effects, and the restoration process does not consider the noise of underwater imaging, and it cannot be restored while removing noise
On the other hand, the image restoration method based on non-local color prior was proposed by Berman in 2016. It uses the non-local characteristics of the corresponding lines in the color space to estimate the transmittance after degrading the pixels with similar colors in the clear image. , so as to effectively restore the image, but this algorithm is only suitable for atmospheric imaging models, not for underwater imaging models, and the algorithm also cannot remove noise

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  • An underwater image restoration and denoising method

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[0044] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described with reference to the accompanying drawings.

[0045] In underwater imaging, water has the greatest absorption rate for red light with a longer wavelength, and the attenuation is the fastest as the depth of field increases, while blue light and green light have relatively shorter wavelengths and weaker attenuation. Based on the above principles, Galdran et al. proposed the background light estimation method of the red channel prior in 2015. [11] , which represents the image after the inversion of the red channel Its non-background area satisfies the red channel prior, namely The minimum value of the three channels of all pixels in the local neighborhood of the non-background area tends to zero, as shown in formula (4). Since the background area does not satisfy this prior...

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Abstract

The invention relates to an underwater image restoration and denoising method, and proposes a single underwater image restoration algorithm based on non-local priori and guided filtering, using a dark channel priori algorithm to estimate the background light of the scene, and then using the color light Based on the relationship between wavelength and scattering coefficient, a non-local prior model that satisfies the imaging characteristics of underwater images is constructed to estimate the transmittance of different colors of light. Then the image is optimized through guided filtering, and the characteristics of restoration and denoising are realized simultaneously. Finally, using guided filtering to refine the transmittance and solve the minimum optimization problem of image restoration and denoising, a clear restoration result is obtained. The invention effectively removes noise on the basis of ensuring operation efficiency, and can be effectively used in engineering practice of underwater image restoration and denoising.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an underwater image restoration and denoising method. Background technique [0002] In recent years, with the development of marine resources, underwater images have been widely used in marine environment monitoring, underwater resource exploration, underwater biological science and many other fields. However, when light propagates underwater, due to the selective absorption of light by water, the phenomenon of medium scattering, and the complex environment in water, the quality of underwater images is seriously degraded, with the disadvantages of high blur, low contrast, and large noise, which seriously affects the quality of underwater images. Accurate acquisition of the following information. How to quickly restore underwater images, eliminate blur, remove noise, and improve clarity is of great significance. [0003] At present, a series of underwater image restoration method...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00G06T5/10G06T7/90G06K9/62
CPCG06T5/002G06T5/10G06T7/90G06F18/23
Inventor 尹诗白王一斌邓箴
Owner SOUTHWESTERN UNIV OF FINANCE & ECONOMICS
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