Exploration of underwater image enhancement algorithm based on dual residual mixed attention mechanism
The images taken underwater are affected by the scattering of suspended particles,and may have adverse conditions such as blur,low contrast and color distortion,which affect the image quality.In order to enhance the visual effect of underwater im-ages with artificial intelligence technology,the research process proposes the dual residual mixed attention mechanism,and estab-lishes the corresponding image enhancement algorithm model on this basis.The use of the open source data set was used to test the performance of the algorithm model,and four control algorithms were set for it.The results showed that the algorithm performed the best in the two evaluation indexes of structural similarity and peak signal-to-noise ratio,and achieved the expected goal.
dual residual hybrid attention network modelunderwater image enhancement algorithmperformance test
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