基于边缘检测的图像锐化算法

An Image Sharpening Algorithm Based on Edge Detection

图像锐化是一种补偿轮廓、突出边缘信息以使图像更为清晰的处理方法。锐化的目标实质上是要增强原始图像的高频成分。常规的锐化算法对整幅图像进行高频增强,结果呈现明显噪声。为此,在对锐化原理进行深入研究的基础上,提出了先用边缘检测算法检出边缘,然后根据检出的边缘对图像进行高频增强的方法。实验结果表明,该方法有效地解决了图像锐化后的噪声问题。

Image sharpening is a method which to make the digital image much more clearly by compensating outlines and sharpening edges of image. The aim of this method is to enhance the high frequency part of original image. Normal sharpening algorithm performs high frequency enhancement for the whole image,this will get a result image with obvious noises. To resolve this problem, base on the understanding of the theory of sharpening, presents a method to detect edges of image at first, and then uses these edges to do high frequency enhancement. Experiments prove that this method can sharpen image effectively and remove the noises at the same time.