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Underwater image/video enhancement using wavelet based color correction (WBCC) method

机译:基于小波的颜色校正(WBCC)方法的水下图像/视频增强

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In this paper, a wavelet based color correction approach for the enhancement of underwater image/video is proposed. Firstly, the discrete wavelet transform is applied on input image to get its approximation and detailed coefficients. The detailed coefficients of these images are kept intact to preserve their structure whereas the approximation coefficients are utilized for color correction. Thereafter, the color correction factor (CCF) corresponding to the specific color cast is estimated, followed by the evaluation of gain values for each RGB component. Input image pixels are adjusted by multiplying the obtained gain values with corresponding RGB components. Finally, the enhanced image/video is achieved by applying inverse wavelet transform on these processed approximation and the detailed coefficients. The performance of the proposed method is validated by using PSNR and SSIM index quality metrics. Superior values of these metrics in comparison to some existing enhancement approaches demonstrate the efficacy of the proposed method.
机译:本文提出了一种用于增强水下图像/视频的小波的颜色校正方法。首先,将离散小波变换应用于输入图像以获得其近似和详细系数。这些图像的详细系数保持完整以保持它们的结构,而近似系数用于颜色校正。此后,估计对应于特定颜色的颜色校正因子(CCF),然后评估每个RGB分量的增益值。通过将所获得的增益值乘以对应的RGB组件来调整输入图像像素。最后,通过在这些处理过的近似和详细系数上应用逆小波变换来实现增强的图像/视频。通过使用PSNR和SSIM指数质量指标验证所提出的方法的性能。与一些现有的增强方法相比,这些度量的优越值证明了所提出的方法的功效。

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