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Guided filter based on multikernel fusion

[+] Author Affiliations
Ruxi Xiang, Xifang Zhu, Feng Wu, Xiaoyan Jiang, Qingquan Xu

Changzhou Institute of Technology, School of Electrical and Photoelectronic Engineering, Changzhou city, Jiangsu Province, China

Changzhou Institute of Modern Optical Technology, Changzhou city, Jiangsu Province, China

Changzhou Key Laboratory of Optoelectronic Materials and Devices, Changzhou city, Jiangsu Province, China

J. Electron. Imaging. 26(3), 033027 (Jun 28, 2017). doi:10.1117/1.JEI.26.3.033027
History: Received March 31, 2017; Accepted June 6, 2017
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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.

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© 2017 SPIE and IS&T

Citation

Ruxi Xiang ; Xifang Zhu ; Feng Wu ; Xiaoyan Jiang and Qingquan Xu
"Guided filter based on multikernel fusion", J. Electron. Imaging. 26(3), 033027 (Jun 28, 2017). ; http://dx.doi.org/10.1117/1.JEI.26.3.033027


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