Christou Julian C, Roorda Austin, Williams David R
Center for Adaptive Optics, University of California, Santa Cruz, California 95064, USA.
J Opt Soc Am A Opt Image Sci Vis. 2004 Aug;21(8):1393-401. doi: 10.1364/josaa.21.001393.
We quantitatively demonstrate the improvement to adaptively corrected retinal images by using deconvolution to remove the residual wave-front aberrations. Qualitatively, deconvolution improves the contrast of the adaptive optics images. In this work we demonstrate that quantitative information is also increased by investigation of the improvement to cone classification due to the reduction in confusion of adjacent cones because of the extended wings of the point-spread function. The results show that the error in classification between the L and M cones is reduced by a factor of 2, thereby reducing the number of images required by a factor of 4.
我们通过使用去卷积来消除残余波前像差，定量地证明了自适应校正视网膜图像的改进。定性地说，去卷积提高了自适应光学图像的对比度。在这项工作中，我们证明，由于点扩散函数扩展翼减少了相邻视锥细胞的混淆，通过对视锥细胞分类改进的研究，定量信息也有所增加。结果表明，L视锥细胞和M视锥细胞之间分类的误差降低了2倍，从而将所需图像数量减少了4倍。
