Image fusion based on complex-shearlet domain with guided filtering

Combined the advantages of time-frequency separation of complex shearlet (CST) with the feature of guided filtering, a new image fusion algorithm based on CST domain and guided filtering is proposed. Firstly, CST is utilized for decomposition of the source images. Secondly, two scale guided filterin...

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Bibliographic Details
Published inMultidimensional systems and signal processing Vol. 28; no. 1; pp. 207 - 224
Main Authors Liu, Shuaiqi, Shi, Mingzhu, Zhu, Zhihui, Zhao, Jie
Format Journal Article
LanguageEnglish
Published New York Springer US 01.01.2017
Springer Nature B.V
Subjects
Artificial Intelligence
Circuits and Systems
Computer vision
Defense industry
Electrical Engineering
Engineering
Filtration
Image processing
Signal,Image and Speech Processing
SML
CST
Guided filtering
Image fusion
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Summary:Combined the advantages of time-frequency separation of complex shearlet (CST) with the feature of guided filtering, a new image fusion algorithm based on CST domain and guided filtering is proposed. Firstly, CST is utilized for decomposition of the source images. Secondly, two scale guided filtering fusion rule is applied to the low frequency coefficients. Thirdly, larger sum-modified-Laplacian with guided filtering fusion rule is applied to the high frequency coefficients. Finally, the fused image is gained by the inverse CST. The algorithm can not only preserve the information of the source images well, but also improve the spatial continuity of fusion image. Experimental results show that the proposed method is superior to other current popular ones both in subjective visual and objective performance.
Bibliography:ObjectType-Article-1
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content type line 14
ISSN:0923-6082
1573-0824
DOI:10.1007/s11045-015-0343-6