Date of Publication :27th December 2017

Abstract: In Recent years, the underwater image processing area has received a great attention from researchers. In the oceanic environment, capturing a clear underwater image is having a crucial importance. Underwater images are usually degraded due to the effects of absorption and scattering. The quality of underwater images is affected by the color cast, poor visibility, foggy appearance and misty. In order to overcome those limitations, an underwater image enhancement technique built on a DWT method is proposed. The main aim of the proposed algorithm is to increase the quality of underwater images. In this paper, 100 different images are used to perform the comparison of the proposed technique with the previous techniques. Performance of the proposed method of DWT is evaluated using the Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM) and Absolute Mean Brightness Error (AMBE). Performance measurement of the Wavelet techniques produces better enhancement results than previous techniques like Contrast Limited Adaptive Histogram Equalization (CLAHE).

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