Abstract: In this paper, a novel non-local averaging based multimodal image filtering method is
provided. In the method, the mean average for filtering the noisy image is computed non-locally and
weights for average is jointly guided by the reference image taken from another imaging device. The
experiment results show that the proposed method is better than state of the art joint bilateral filter,
especially in the case of the periodic texture is involved in the images. Furthermore, an acceleration
algorithm is proposed by constructing integral histograms, speeding up by factor of about 2 order
compared with the brute-force method. In addition, the algorithm is independent of the size of the
filter, and easy to be implemented on parallel system.

Key words: image denoising, joint bilateral filter, non-local filter, integral image