Underwater image enhancement method based on multi-interval sub-histogram equalization
A histogram equalization and underwater image technology, applied in the field of image processing, can solve problems such as unbalanced lighting and difficulty in recovering underwater image information, and achieve improved details in dark places, good color correction effects, and uniform distribution of histograms Effect
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[0159] Such as figure 2 As shown, firstly, the first foggy image is processed by various algorithms; diagram 2-1 -1 is the result image processed by the IBLA algorithm. It can be seen that the result image is still foggy, and the details are slightly blurred, which did not achieve the expected effect. diagram 2-1 -2 is the result map processed by the ICM algorithm. It can be seen that the contrast of the result map has been improved, but the details are not clear, and the effect needs to be improved. diagram 2-1 -3 is the result image processed by the RGHS algorithm. It can be seen that the result image has a better dehazing effect and some details have been improved, but the image still has the problem of color cast, which has not achieved the expected effect. diagram 2-1 -4 is the result map processed by the UWCNN algorithm. It can be seen that the result map has serious color cast problems, detailed information cannot be obtained, and the processing result is very poo...
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