基于相对全变分模型的纹理图像主结构提取方法研究

Study on the Method of Main Structure Extraction from the Texture Images Via Relative Total Variation

利用相对全变分模型的方法,通过捕捉主结构和纹理这两种类型在视觉形式上的本质差异,将图像的纹理细节部分去除,达到将主结构从复杂的纹理图像中提取出来的目的。本文通过对样本图像进行模拟实验,对该模型在主结构提取方面的有效性进行验证,同时,在验证模型有效性的过程中,在实验原图加入高斯噪声,验证了该模型在抑制噪声方面也有很好的表现。

In this paper,we use the method of relative total variation model.By capturing the main structure and texture of the two types in the visual form of the essential differences.Remove the texture details of the image,achieving the purpose of the main structure extraction from the complex texture image.In this paper,the simulation of the sample image is carried out to verify the validity of the model in the extraction of the main structure.At the same time,in the process of validating the validity of the model.Add Gaussian noise to the original image to verify the model has a good performance in suppressing noise.