摘要
针对图像采集系统存在噪声情况下,提出了一种基于小波变换的快速聚焦算法。该算法采用5点数据拟合方法以及较大步长来降低聚焦搜索时间。算法中的聚焦测量函数在存在较大的噪声情况下仍然具有较好的性能,与其它的聚焦测量函数如Laplacian能量聚焦测量函数、梯度(Sobel)能量聚焦测量函数和图像灰度方差测量函数等相比较,仿真和实验的结果表明该算法在聚焦分辨力、抗噪声等方面具有较好的性能。
An algorithm of fast auto-focusing measurement is presented for the image noise based on wavelet transform. The method of curve fitting using 5 points and a larger step are adopted to reduce the time of auto-focusing. The function of focusing measurement still operates very well with the heavier noise. The results of simulation and experiment illustrate the algorithm has good performance in focusing discrimination power and noise resistance compared with the other focusing measurement functions such as energy of gradient, and energy of Laplacian and graylevel variance.
出处
《中山大学学报（自然科学版）》
CAS
CSCD
北大核心
2007年第2期12-15,共4页
Acta Scientiarum Naturalium Universitatis Sunyatseni
基金
广东省科技计划资助项目(2005B10101002)
关键词
小波变换
自动聚焦
图像噪声
wavelet transform
auto-focusing
image noise
