摘要
图像清晰度评价在自动对焦中具有重要的意义。提出了几种基于小波变换的不同的评价标准,研究发现,同一个小波变换,不同的评价标准其评价效果也有所不同,根据需要的不同,可以采取各种不同的评价函数。同时,对焦区域的合理选择可以有效地减小计算量,保证自动对焦的实时性要求。试验证明,这几种评价标准具有更好的调焦性能、抗干扰能力和实时性,在自动对焦方面有着广泛的意义。
Image clarity-evaluation-function is very important in Auto-focus.This article describes several evaluation criteria based on wavelet transform.The study reveals that,even for the same wavelet transform,the effect of evalution based on different evalution criterias would be quite different.Meanwhile,the reasonable choice of focus area could reduce the computation complexity and ensure the real-time requirements for auto focus.Experimental results indicate that the focusing curves of the several evalution functions have better focusing capability,stronger anti-disturbance and better real-time performance,and are of the widespread significance in the auto-focus.
出处
《通信技术》
2010年第6期210-212,共3页
Communications Technology
关键词
小波变换
图像清晰度
自动对焦
wavelet transform
image definition
auto-focus
