THREE-DIMENSIONAL BILATERAL FILTERING APPLYING TO DE-NOISE OF MICROSCOPIC IMAGE STACK

摘要

Bilateral filtering performs excellent in noise reduction for two-dimensional images. Compared with the traditional Gaussian filtering, bilateral filtering keeps the image edge from being blurring while smooths background noise. In three-dimensional image stack, however, there is strong correlation in the foreground signals between layers, while noise distribute independently on each layer. Traditional bilateral filtering methods do not take advantage of this characteristic. We propose a new algorithm, which expand the traditional bilateral filter to three-dimensional space. The three-dimensional bilateral filtering is applied on the image stack directly. Experimental results show that compared with the traditional, the new algorithm gets better de-noising effect, and effectively reduce the loss of weak signals at the same time.