摘 要在猎取图像的过程中，由于多种因素的影响，导致图像质量会有所退化。图像增强的目的在于通过处理有选择地突出便于人或机器分析某些感兴趣的信息，抑制一些无用的信息，以提高图像的使用价值。图像锐化正是图像增强中空间域局部运算方法中的一种，其目的是增强和推断图像的边缘和轮廓信息。而图像锐化的具体方法就是通过微分而使图像边缘突出、清楚。 图像锐化最常用的方法是梯度锐化法，但除梯度算法外，图像锐化的方法还有Roberts、Prewitt、Sobel 和 Laplacian 等多种算法，本文对这些方法进行了介绍、比较和分析。最后对 MATLAB 做了介绍，并运用 MATLAB 语言对图像锐化的部分算法进行了实现并记录结果。 通过对各种算法仿真和比较，每种算法都有各自的优缺点。在分析了本论文采纳的图像特点后，有针对性的对 Laplacian 算法进行了改进，即采纳高提升滤波来提高图像的亮度。实验结果表明，此方法可行，达到了预期的锐化效果。关键词：图像增强；边缘；MATLAB；图像锐化AbstractIn the process of image acquisiting, the image quality will be degraded due to a variety of factors. Image enhanceing is aimed at highlighting some interested information that is easy to analyze for people and machine and inhibiting some useless information to enhance the image value. Image sharpening is a partion operation method of image enhancing in spatial domain, and its purpose is to enhance and judge the edge of the image and profile information and the specific method of the image sharpening uses differential to make the edge so prominent and clear. The most commonly used method of image sharpening is gradient sharpening. But apart from the gradient algorithm, image sharpening methods also have Roberts, Prewitt, Sobel, Laplacian and etc. These methods were introduced, compared and analyzed. Finally, MATLAB is introduced. And a part of the image sharpening algorithm is achievd and the results afe recorded. Through the simulation and comparison of the various algorithms, each algorith...
