Underwater image enhancement and restoration method based on convolutional neural network

A convolutional neural network and underwater image technology, applied in the field of underwater image enhancement and restoration, can solve problems such as artifacts, unnatural chromatic aberration, and a large amount of environmental data, and achieve the effect of improving quality
CN111462002AActive Publication Date: 2020-07-28CHONGQING UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHONGQING UNIV OF TECH
Publication Date
2020-07-28

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Abstract

The invention discloses an underwater image enhancement and restoration method based on a convolutional neural network, and the method comprises the steps: degrading a plurality of conventional imagesthrough a to-be-processed underwater image, forming a training set through the plurality of conventional images and the corresponding degraded conventional images, and sequentially inputting the training set into the convolutional neural network for training; then, inputting the underwater image to be processed into the trained convolutional neural network, and outputting a first image; carryingout CIELAB color space transformation on the image, and extracting an L brightness channel, an A color channel and a B color channel of the image; and finally, performing texture enhancement on the to-be-processed underwater image, replacing the L brightness channel of the first image with the image after texture enhancement, and combining the image after texture enhancement with the A color channel and the B color channel in the first image to obtain a final image. According to the method, the problem of missing of underwater image training data is solved, complex calculation of a traditionalunderwater imaging model is avoided, and the quality of underwater images is well improved.
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Description

technical field

[0001] The invention relates to the field of underwater image enhancement and restoration, in particular to an underwater image enhancement and restoration method based on a convolutional neural network. Background technique

[0002] Obtaining underwater images is of great significance to the detection and development of underwater environments. In the process of shooting underwater images, due to the rapid attenuation of red light during propagation, and the light scattering caused by particles in the water, the collected underwater images usually have low contrast, uneven brightness, unclear texture and chromatic aberration. Serious and other shortcomings. Therefore, people usually perform enhancement and restoration processing on underwater images to ensure the smooth development of underwater environmental operations.

[0003] In recent years, underwater image processing technology has attracted more and more attention from scholars, and various underwa...

Claims

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