Guided Filter Bank

Author(s):  
Hui Yin ◽  
Yuanhao Gong ◽  
Guoping Qiu
Keyword(s):  
Author(s):  
Liu Xian-Hong ◽  
Chen Zhi-Bin

Background: A multi-scale multidirectional image fusion method is proposed, which introduces the Nonsubsampled Directional Filter Bank (NSDFB) into the multi-scale edge-preserving decomposition based on the fast guided filter. Methods: The proposed method has the advantages of preserving edges and extracting directional information simultaneously. In order to get better-fused sub-bands coefficients, a Convolutional Sparse Representation (CSR) based approximation sub-bands fusion rule is introduced and a Pulse Coupled Neural Network (PCNN) based detail sub-bands fusion strategy with New Sum of Modified Laplacian (NSML) to be the external input is also presented simultaneously. Results: Experimental results have demonstrated the superiority of the proposed method over conventional methods in terms of visual effects and objective evaluations. Conclusion: In this paper, combining fast guided filter and nonsubsampled directional filter bank, a multi-scale directional edge-preserving filter image fusion method is proposed. The proposed method has the features of edge-preserving and extracting directional information.


Author(s):  
Yuan-Pei Lin ◽  
See-May Phoong ◽  
P. P. Vaidyanathan
Keyword(s):  

2005 ◽  
Author(s):  
S. Martin ◽  
E. Moyer ◽  
B. Beamer

2019 ◽  
Vol 139 (11) ◽  
pp. 551-557 ◽  
Author(s):  
Takashi Kawamura ◽  
Masaaki Fuse ◽  
Shigenori Mattori

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