数字图像锐化算法讨论 郭志标 指导老师：江健生摘要： 目前，图像锐化是数字图像处理的最基本的方法之一，它是为了突出图像总的细节或者增强被模糊地细节，这种模糊不是由于错误操作，就是特别猎取方法的固有影响。图像锐化处理的方法多种多样，其也包括多种应用，从电子印象和医学成像到工业检测和军事系统的的制导，等等.图像锐化的主要目的有两个：一是增强图像边缘，使模糊的图像变得更加清楚，颜色变得鲜亮突出，图像的质量有所改善，产生更适合人眼观察和识别的图像；二是希望经过锐化处理后，目标物体的边缘鲜亮，以便于提取目标的边缘、对图像进行分割、目标区域识别、区域形状提取等，为进一步的图像理解与分析奠定基础。图像锐化一般有两种方法一是微分法，二是高通滤波法。高通滤波法的工作原理和低通滤波相似，这里不再赘述。下面主要介绍一下两种常用的微分锐化方法：梯度锐化和拉普拉斯锐化。但由于锐化使噪声受到比信号还要强的增强，所以要求锐化处理的图像有较高的信噪比；否则，锐化后图像的信噪比更低。Abstract：At present, image sharpening the digital image processing is one of the basic methods, it is in order to highlight the image total detail or enhancement was vague details, this kind of fuzzy is not due to erroneous operation, is a special method of obtaining inherent influence. Image sharpening method is varied, which also includes a wide variety of applications, from the electronic image and medical imaging to industrial detection and military system guidance, etc..Image sharpening has two main objectives : one is to enhance the image edge, so that the fuzzy image clarity, color is distinctive, the image quality is improved somewhat, produce more suitable for human observation and image recognition; two is the hope that through the sharpening processing, the edge of the object is bright, in order to extract target edge, image segmentation, target region identification, regional shape extraction, for further image analysis and lay the foundation for. Image sha...
