Adaptive histogram fusion-based colour restoration and enhancement for underwater images Online publication date: Sun, 07-Feb-2021
by Jingchun Zhou; Dehuan Zhang; Weishi Zhang
International Journal of Security and Networks (IJSN), Vol. 16, No. 1, 2021
Abstract: Underwater image restoration is crucial for marine exploration, underwater archaeology and seafloor geological investigation. However, due to the complex underwater environment, the image obtained underwater often has problems with colour deviation and lack of details. To improve the quality and the visual effect of underwater images, we propose an adaptive histogram fusion-based colour restoration and enhancement method for underwater images. First, the proposed method restores the colour by pixel value adjusting in a channel and b channel according to colour distortion. Then the histogram is used in the H channel of the underwater source image to improve the colour hue. To make the enhanced result more in line with visual observation, the edge reserving-based method is used to enhance the details of colour restoration results. Experimental results demonstrate that our results are effective in subjective and objective evaluations, and superior to several existing methods.
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