基于Sobel算子滤波的图像增强算法

IMAGE ENHANCEMENT ALGORITHM BASED ON SOBEL OPERATOR FILTERING

针对传统图像增强算法对噪声比较敏感、图像失真和细节信息丢失等不足,提出一种基于Sobel算子滤波的图像增强算法。通过理想高通滤波和Sobel算子提取出边缘掩膜,再利用平滑滤波和拉普拉斯算子结合得到简单的细节增强图像。然后将其和掩膜相乘后,再与输入图像相加可得到效果较好的边缘细节增强图像。通过实验进行比较分析,评价结果显示,该方法得到图像的视觉效果相对原始图像和同态滤波都有明显的改善。实验结果验证了该方法的有效性,在增强图像边缘细节的同时,能够抑制噪声并保持图像的真实性。

In view of the shortcomings of traditional image enhancement algorithms,such as more sensitive to noise,image distortion and loss of detail information,this paper proposes an image enhancement algorithm based on Sobel operator filtering.The edge mask was extracted by ideal high pass filter and Sobel operator,and then the simple detail enhancement image was obtained by combining smooth filter and Laplacian operator.Then,it was multiplied by the mask and added with the input image to get a better edge detail enhancement image.Comparison and analysis were carried out through experiments.The evaluation results show that the visual effect of the image obtained by this method is better than that of the original image and homomorphic filtering.The experimental results verify the effectiveness of the method,which can enhance the edge details of the image,suppress the noise and maintain the authenticity of the image.