Guided filter based on multikernel fusion

Ruxi Xiang; Xifang Zhu; Feng Wu; Xiaoyan Jiang; Qingquan Xu

doi:10.1117/1.JEI.26.3.033027

28 June 2017 Guided filter based on multikernel fusion

Ruxi Xiang, Xifang Zhu, Feng Wu, Xiaoyan Jiang, Qingquan Xu

Author Affiliations +

Journal of Electronic Imaging, Vol. 26, Issue 3, 033027 (June 2017). https://doi.org/10.1117/1.JEI.26.3.033027

Abstract

To prevent halo artifacts resulting from edge preserving smoothing methods that use a local filter, a filter method with a guided image that fuses multiple kernels is proposed. This method first computes the coefficients of different local multiple kernels at the pixel level and then linearly fuses these coefficients to obtain the final coefficients. Finally, the filtered image is generated using the linear coefficients. Compared with existing methods, including the popular bilateral filter and guided filter methods, our experimental results show that the proposed method not only obtains images with better visual quality but also prevents halo artifacts, resulting in detail enhancement, haze removal, and noise reduction.

Citation Download Citation

Ruxi Xiang, Xifang Zhu, Feng Wu, Xiaoyan Jiang, and Qingquan Xu "Guided filter based on multikernel fusion," Journal of Electronic Imaging 26(3), 033027 (28 June 2017). https://doi.org/10.1117/1.JEI.26.3.033027

Received: 31 March 2017; Accepted: 6 June 2017; Published: 28 June 2017

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