Underwater Image Enhancement Using Convolutional Neural Network

Anushka Yadav; Mayank Upadhyay; Ghanapriya Singh

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arXiv · 2109.08916

Underwater Image Enhancement Using Convolutional Neural Network

Anushka Yadav·Mayank Upadhyay·Ghanapriya Singh

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Abstract

This work proposes a method for underwater image enhancement using the principle of histogram equalization. Since underwater images have a global strong dominant colour, their colourfulness and contrast are often degraded. Before applying the histogram equalisation technique on the image, the image is converted from coloured image to a gray scale image for further operations. Histogram equalization is a technique for adjusting image intensities to enhance contrast. The colours of the image are retained using a convolutional neural network model which is trained by the datasets of underwater images to give better results.

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eess.IV cs.CV cs.LG

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Anushka Yadav, Mayank Upadhyay, Ghanapriya Singh. 2021-09-18. Underwater Image Enhancement Using Convolutional Neural Network. https://arxiv.org/abs/2109.08916

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