Accelerated Multimodal Images Joint Non-local Filtering
In this paper, we present a novel non-local averaging based multimodal image filtering method. In the method the mean average for filtering the noisy image is computed nonlocally and weights for average is jointly guided by the reference image taken from another imaging device. The experiment results shows that the proposed method is outperformance than the state of the art joint bilateral filter, especially in the case of the periodic texture is involved in the images. Further more, we accelerate the method by constructing integral histograms, speed it 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.
Image Denoising Joint Bilateral Filter Non-local Filter Integral Histogram
Yuanqin Yang Ning Wei
College of Computer and Information Technology China Three Gorges University Yichang, China
国际会议
秦皇岛
英文
1751-1754
2015-09-18（万方平台首次上网日期，不代表论文的发表时间）