Caron James N
Research Support Instruments, Lanham, Maryland 20706, USA.
Opt Lett. 2004 Sep 1;29(17):1986-8. doi: 10.1364/ol.29.001986.
Under certain conditions, multiframe image sequences can be processed to produce images that achieve greater resolution through image registration and increased sampling. This technique, known as supersampling, takes advantage of the spatiotemporal data available in an undersampled imaging sequence. In this effort the image registration is replaced by application of a fast blind-deconvolution technique to remove the motion blur in the upsampled average of the image sequence. This method produces a supersampled image with significantly decreased computational requirements compared with common methods. The method and simulated test results are presented.
在某些条件下,可以对多帧图像序列进行处理,以通过图像配准和增加采样来生成具有更高分辨率的图像。这种技术称为超采样,它利用了欠采样成像序列中可用的时空数据。在这项工作中,通过应用快速盲反卷积技术来去除图像序列上采样平均值中的运动模糊,从而取代了图像配准。与常用方法相比,该方法生成超采样图像时的计算需求显著降低。本文介绍了该方法及模拟测试结果。