Efficiency Analysis of the Autofocusing Algorithm Based on Orthogonal Transforms
Efficiency Analysis of the Autofocusing Algorithm Based on Orthogonal Transforms
复制标题
基于正交变换的自动对焦算法效率分析
DOI：
10.4236/jcc.2013.16008
复制
发表时间：
2013
影响因子：
3
通讯作者：
Paweł Wachel
中科院分区：
文献类型：
--
作者：
P. Sliwinski;Krzysztof S. Berezowski;Piotr Patronik;Paweł Wachel
基于各种正交变换的自动聚焦算法实现的效率进行检查。该算法使用由传感器获取的图像的方差作为聚焦函数。为了计算方差的估计，我们利用该估计和图像正交展开之间的等价性。能源消耗的三个实现利用以下快速正交变换：离散余弦，沃尔什-哈达玛，和Haar小波之一，进行评估和比较。此外，它被证实，计算精度可以大大降低，如果图像是严重的噪声污染，和一个简单的问题，最佳字的比特长度选择相对于信号方差进行了分析。
Efficiency of the autofocusing algorithm implementations based on various orthogonal transforms is examined. The algorithm uses the variance of an image acquired by a sensor as a focus function. To compute the estimate of the variance we exploit the equivalence between that estimate and the image orthogonal expansion. Energy consumption of three implementations exploiting either of the following fast orthogonal transforms: the discrete cosine, the Walsh-Hadamard, and the Haar wavelet one, is evaluated and compared. Furthermore, it is conjectured that the computation precision can considerably be reduced if the image is heavily corrupted by the noise, and a simple problem of optimal word bit-length selection with respect to the signal variance is analyzed.