Cross Bilateral Filtering Using Joint Histograms

With the increasing of the diversity of imaging methods, multimodal images are applied in more wide field. But due to the constrain of the bang, multimodal image are sometimes polluted by noise. Cross Bilateral Filter (CBF) is one of the state of the art method which can denoising two multimodal images which are polluted by noise at the same times. In this paper we proposed an Cross Integral Histogram based method which can speed up the the CBF, and the computation complexity in independent of the filter size. The experiment shows that at the appropriate filter size the proposed method can gain one order speed up compare with CBF method while producing similar filtering results.