摘要
如何有效地增强图像是图像分析中的一个难点,通常,图像的目标背景对比度低,噪声大。平滑处理后图像的边缘轮廓更加模糊不清。常用的拉普拉斯锐化方法在突出图像边缘的同时,也提升了平滑图像中的残留噪声。针对这种问题,提出了用直方图规定化方法增强平滑后的图像,该方法克服了拉普拉斯锐化的缺点,且明显地增强了图像的细节部分。理论分析和仿真结果均表明,该算法能够提高图像成分的清晰度,提供更准确、更满意的图像。
How to improve image is always a difficult problem. Generally, the target background of image has some characteristics, such as the low target- to -background contrast, great noise and so on . The outline of edge becomes more and more blurry after image smoothing. Actually, the method of laplacian sharpening can enhance the image edge as well as improve the residual noise in the smoothed image. As the result of the problem, the method of using histogram regulation is proposed to strengthen the smoothed picture, which overcomes the shortcoming of laplaelan sharpening and is good at enhancing the edge details of image. Both the theory analysis and the experimental resuits show that the method can improve the definition of image and make more accurate and satisfactory image.
出处
《计算机仿真》
CSCD
2007年第1期192-195,共4页
Computer Simulation
关键词
图像增强
托普拉斯锐化
直方图规定化
对比度
Image enhancement
Laplacian sbarpening
Histogram regulation
Contrast
