基于二阶全变分的图像去噪方法

The Image Denoising Method Based on Second Order Total Variation

将经典全变分模型和高阶全变分模型的正则项结合,构建了二阶全变分去噪模型,提出了二阶全变分去噪方法。通过差分算子对该模型做了离散化处理,利用3种不同方法做了图像的去噪实验。结果表明,利用二阶全变分去噪法能有效去除散斑噪声,提高图像的整体质量,能使图像的细节更加清晰,视觉效果更好。

The regular terms of the classical total variation model and the high-order total variation model are combined.A second-order total variation denoising model is constructed and a second-order total variation denoising method is proposed.This model is separated by differential operator,and three different methods are used to denosise the image.The results show that the second-order total variation denoising method can effectively denoise speckle noise,improve the overall quality of the image,and make the details of the image clearer and the visual effect better.