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Underwater image enhancement method fusing deep learning and traditional image enhancement technology

An underwater image and deep learning technology, applied in image enhancement, neural learning method, image analysis and other directions, can solve the problems of the complexity of the degradation mechanism of underwater imaging, and achieve the effect of good enhancement effect and high evaluation index.

Pending Publication Date: 2022-07-15
XIAN UNIV OF TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Despite significant progress, deep learning-based underwater image enhancement methods are still somewhat challenging due to the complexity of underwater imaging degradation mechanisms, including loss of local details and global color distortion of entire image pixels.

Method used

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  • Underwater image enhancement method fusing deep learning and traditional image enhancement technology
  • Underwater image enhancement method fusing deep learning and traditional image enhancement technology
  • Underwater image enhancement method fusing deep learning and traditional image enhancement technology

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Embodiment Construction

[0038] The technical solutions of the present invention will be described in a complete and systematic manner below with reference to the accompanying drawings in the examples of the present invention.

[0039] The underwater image enhancement method of the present invention fuses deep learning and traditional image enhancement technology, such as figure 1 shown, including the following steps:

[0040] Step 1: Input the underwater image dataset synthesized by cycleGAN, which includes a total of 6128 paired underwater images, (including 6128 degraded underwater images and corresponding 6128 clear underwater images), and select 4000 of them. The paired images are used for training, and 100 pairs of images are selected from the remaining images for testing.

[0041] Step 2: Preprocess the test and training sets, normalize the pixel values ​​of the images to [0, 1], and crop them to 256x256x3.

[0042] Step 3 The specific steps of analyzing the mean difference between the underw...

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Abstract

The invention discloses an underwater image enhancement method fusing deep learning and a traditional image enhancement technology, which comprises the following steps of: firstly, analyzing an average value difference between each channel of an input underwater image and a corresponding natural image, and showing that a red channel needs to be compensated and a green channel needs to be attenuated from the difference; therefore, the color compensation is performed on the R channel and the G channel of the input underwater image by using an attention-guided residual network, and the motivation of the strategy is that most of the underwater images are observed to be composed of relatively single and uniform color distribution. For scene contrast enhancement and scene deblurring, a multi-scale convolutional neural network is developed, and a CLAHE (Contrast Adaptive Histogram Equalization) and a Gamma correction algorithm are introduced as supplements to process a complex and changeable underwater imaging environment. Experimental results show that the underwater image enhancement method has a good effect.

Description

technical field [0001] The invention relates to the technical field of image enhancement, in particular to an underwater image enhancement method integrating deep learning and traditional image enhancement technology. Background technique [0002] The visual quality of underwater images is of great significance for the understanding and recognition of underwater scenes. However, due to the selective absorption and scattering of light by water, underwater images captured by underwater imaging devices usually suffer from severe color distortion, blurring, low contrast and low brightness, which seriously affects people's understanding of underwater scenes. and perception. [0003] For underwater image enhancement, in the past few years, many different methods have been proposed to improve the visual quality of underwater images. These methods can be roughly divided into underwater image enhancement methods based on traditional image processing, image restoration methods based...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06T5/00G06T7/90G06N3/04G06N3/08
CPCG06T5/50G06T7/90G06N3/08G06N3/084G06T2207/10024G06T2207/20081G06T2207/20084G06N3/048G06N3/045G06T5/90
Inventor 石争浩王永丽周昭润
Owner XIAN UNIV OF TECH
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