基于fpga的对焦函数并行计算

Wenjia Ni, Jintao Liu, S. Chen, Qing He, W. Liu, Chao Hu
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引用次数: 1

摘要

自动对焦系统一直存在对焦功能灵敏度差、对焦时间长等问题。本文提出了一种基于FPGA的自适应方法来解决这一问题。该方法基于图像块区域,具有两个优点。一是可以为每个图像块设置权重;这样可以增强对焦功能的灵敏度。二是各图像块可并行执行图像处理;这将提高对焦速度。本文还对几种经典的调焦函数进行了分析比较,并在此基础上构造了基于Brenner方法的调焦函数。结果表明,该方法节省了计算时间,提高了自动对焦过程的可靠性和响应灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FPGA-based parallel calculation of focus function
Auto-focus systems always suffer from the problem of poor sensitivity of focus functions and long focus time. This paper proposes an adaptive method with FPGA to solve this problem. The method is based on image block region, which brings about two advantages. One is that the weights can be set for each image block; this will enhance the sensitivity of focus function. The other is that each image block can executes the image process in parallel; this will improve the speed of focus. This paper has also analyzed and compared several classical focus functions, and then constituted a focus function based on Brenner method. This paper proves that the parallel calculation method of focus functions needs less time that can improve the reliability and response sensitivity of auto focusing process.
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