局部搜索式的Lytro相机微透镜阵列中心标定

Micro-lens Array Center Calibration via Local Searching Using Lytro Cameras

针对Lytro相机微透镜阵列中心标定的精确性受主透镜安装误差、漫反射光一致性等不利因素的影响,本文提出由粗到细的局部搜索式微透镜阵列中心标定方法。在获取粗调中心的基础上,局部搜索其邻域像素的最大值作为候选中心,并计算二者间的欧氏距离,实现微调中心的精确定位。实验结果表明,与其他先进标定算法相比,本文方法的距离误差较小,精确性提升了3.88%。进一步,将标定结果用于色彩校正及重聚焦,结果表明本文方法色彩校正后的图像更加真实自然,信息熵值更高;重聚焦图像清晰度更高,并且对室内外复杂场景均适用。

To reduce the effect of main lens installation error and diffuse consistency on the accuracy of micro-lens array center calibration, we present a micro-lens array center calibration method in a coarse-to-fine manner via local searching It can determine the ownership ofpixels and micro-lens precisely. On the basis of the coarse center, we acquire alternative centers by locally searching its neighbor pixels. To accurately locate the fined-tuning center, we calculate the Euclidean distance between the coarse center and alternative centers. The calibration result demonstrate that compared with other advanced calibration algorithms, the distance error of our approach is smaller, and the accuracy is improved by 3.88% Further, we conduct color correction and refocusing experiments. Experimental results demonstrate that the colorful image by our method is more real and natural, and its information entropy is higher. Besides, the refocused image has higher image clarity for both indoor and outdoor complex natural scenes