"基于MATLAB的图像锐化算法研究与仿真"

基于matlab的图像锐化算法研究与仿真--学位论文.doc"着重研究了图像增强的方法，以及图像锐化在图像处理中的重要性。由于多种因素的影响，图像质量会有所退化，因此图像增强的目的在于通过有选择性地突出有用信息，抑制无用信息，以提高图像的可用性。图像锐化作为图像增强的一种方法，其目的是增强和突出图像的边缘和轮廓信息，使图像更加清晰。本文分别介绍了梯度锐化法、Roberts、Prewitt、Sobel和Laplacian等多种图像锐化方法，并对它们进行了比较和分析。此外，本文还对MATLAB进行了介绍，并运用MATLAB对图像锐化的部分算法进行了实现并记录结果。通过对各种算法的仿真和比较，发现每种算法都有各自的优缺点。在分析了图像特点后，针对性地对Laplacian算法进行了改进，即采用高提升滤波来提高图像的亮度。实验结果表明，此方法可行，并达到了预期的锐化效果。 关键词：图像增强；边缘；MATLAB；图像锐化 Abstract: This thesis entitled "Research and Simulation of Image Sharpening Algorithms Based on Matlab" focuses on the methods of image enhancement and the importance of image sharpening in image processing. Due to various factors, the quality of an image may degrade; hence, the purpose of image enhancement is to selectively highlight useful information and suppress useless information, thereby improving the usability of the image. Image sharpening, as a method of image enhancement, aims to enhance and highlight the edge and contour information of an image to make it clearer. This thesis introduces various image sharpening methods such as gradient sharpening, Roberts, Prewitt, Sobel, and Laplacian, and compares and analyzes them. In addition, this thesis also introduces and utilizes MATLAB to implement and record the results of partial image sharpening algorithms. Through simulation and comparison of various algorithms, it is found that each algorithm has its own advantages and disadvantages. Based on the analysis of image characteristics, an improvement was made on the Laplacian algorithm by using high-boost filtering to increase the brightness of the image. The experimental results show that this method is feasible and achieves the expected sharpening effect. Keywords: Image enhancement; Edge; MATLAB; Image sharpening