Increasing signal-to-noise ratio for processing of multichannel digital image data sets using sliding noise filter by matching small-scale variances

摘要

The method involves transferring smaller-scale variances in the data set of a selected or established reference channel that has a higher signal-to-noise ratio than the channel to be filtered, to the data set of the channel to be filtered by sliding linear or nonlinear regression. Thus in the channel to be filtered, the small-scale variances can be matched to those of the reference channel.