论文标题
水下图像增强基于结构文本重建
Underwater Image Enhancement Based on Structure-Texture Reconstruction
论文作者
论文摘要
针对水下图像的颜色失真，模糊和过度噪声的问题，提出了水下图像增强算法，基于结构文本重建。首先，自动颜色增强算法实现了退化图像的颜色均衡。其次，引入了相对总变化以将图像分解为结构层和纹理层。然后，根据亮度，梯度歧视和色调判断，选择最佳背景光点，反向散射组件的透射率是由红色暗通道先验获得的，将红色深通道先验替换为成像模型，以去除结构层中的雾化现象。通过多尺度细节增强算法和二进制掩码在纹理层中增强有效细节；最后，重建结构层和纹理层以获取最终图像。实验结果表明，该算法可以有效地平衡水下图像的色调，饱和度和清晰度，并且在不同的水下环境中具有良好的性能。
Aiming at the problems of color distortion, blur and excessive noise of underwater image, an underwater image enhancement algorithm based on structure-texture reconstruction is proposed. Firstly, the color equalization of the degraded image is realized by the automatic color enhancement algorithm; Secondly, the relative total variation is introduced to decompose the image into the structure layer and texture layer; Then, the best background light point is selected based on brightness, gradient discrimination, and hue judgment, the transmittance of the backscatter component is obtained by the red dark channel prior, which is substituted into the imaging model to remove the fogging phenomenon in the structure layer. Enhancement of effective details in the texture layer by multi scale detail enhancement algorithm and binary mask; Finally, the structure layer and texture layer are reconstructed to get the final image. The experimental results show that the algorithm can effectively balance the hue, saturation, and clarity of underwater image, and has good performance in different underwater environments.
