摘要
传统图像增强算法对灰度级比较分散、细节信号分布在整个灰度级空间的图像难以取得令人满意的效果,而且往往在增强图像的同时也使图像的噪声得到了提升。在此针对传统图像增强技术的缺点,提出了一种新的图像增强算法。该算法采用高斯窗口函数对图像进行变换,并通过构造多尺度对比度塔来对图像进行增强。实验结果表明该算法在灰度分散的情况下同样能有效地对细节信号进行增强,同时对图像中的噪声信号也有较好的抑制作用。
The traditional image enhanced algorithm can not achieve a satisfactory effect for the images which has the scattered grayscales or whose detail information is distributed in the whole grayscale space.And the algorithm will also enhance the noise while the images are enhanced.Aimming at the shortcomings of the traditional image enhancement algorithm,a new image enhancement algorithm was designed.In this algorithm,images are transformed by Gaussian window function and enhanced by the construction of a multiscale constrast pyramid.The experimental results shows that the new alogrithm can enhance the detail information effectively while the images have scattered grayscale,and the algorithm also has a good function to reduce the noise in the images.
出处
《现代电子技术》
2012年第10期75-77,80,共4页
Modern Electronics Technique
基金
广东省2010年自然科学基金资助项目:基于医疗诊断的低剂量X线数字成像技术的研究(10151064007000000)
2010年广东省高等学校高层次人才项目:医学X线数字成像技术的研究(粤教师函字[2010]79号)
广东省2009年社会发展重点科技计划项目:低成本医学X光数字成像设备的研发(2009A030200016)
关键词
图像增强
多尺度
对比度
高斯金字塔
image enhancement
multi-scale
contrast
Gaussian pyramid
