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Underwater image restoration by turbulence model based on image gradient distribution

机译:基于图像梯度分布的湍流模型水下图像恢复

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For the underwater degenerative image caused by obscure and noise, atmospheric turbulence model is utilized to construct the restoration model. By computing the underwater image gradient distribution which is used to estimate the adaptive degradation model parameter, underwater image is restored through Wiener filters. The experiments show that the proposed method exerts powerful effort on restoration of the obscure underwater image caused by scattering. The proposed method has better improvement on contrast than other common preprocessing methods and is especially suitable for further degradation model analysis and objective detection.
机译:对于由模糊和噪声引起的水下退行性图像,利用大气湍流模型构建恢复模型。通过计算用于估计自适应劣化模型参数的水下图像梯度分布,通过维纳滤波器恢复水下图像。实验表明,该方法对散射引起的模糊水下图像恢复的强大努力。该方法比其他常见预处理方法更好地改善,特别适用于进一步降解模型分析和客观检测。

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