Optometry School, Indiana University Bloomington, Bloomington, Indiana 47405, USA.
Opt Lett. 2011 Oct 1;36(19):3786-8. doi: 10.1364/OL.36.003786.
Adaptive optics (AO) has greatly improved retinal image resolution. However, even with AO, temporal and spatial variations in image quality still occur due to wavefront fluctuations, intraframe focus shifts, and other factors. As a result, aligning and averaging images can produce a mean image that has lower resolution or contrast than the best images within a sequence. To address this, we propose an image postprocessing scheme called "lucky averaging," analogous to lucky imaging [J. Opt. Soc. Am. 68, 1651 (1978)] based on computing the best local contrast over time. Results from eye data demonstrate improvements in image quality.
自适应光学（AO）极大地提高了视网膜图像的分辨率。然而，即使有了 AO，由于波前波动、帧内焦点移动和其他因素，图像质量的时间和空间变化仍然会发生。因此，对齐和平均图像可能会产生一个平均图像，其分辨率或对比度低于序列中最好的图像。为了解决这个问题，我们提出了一种称为“幸运平均”的图像后处理方案，类似于基于计算最佳局部对比度的幸运成像[J. Opt. Soc. Am. 68, 1651 (1978)]。眼部数据的结果表明图像质量有所提高。
