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Multi-Focus Image Fusion Using Cross Bilateral Filter in NSCT Domain

Authors:

Ruichao HouAuthors Info & Claims

ICMIP '18: Proceedings of the 3rd International Conference on Multimedia and Image Processing

Pages 105 - 109

https://doi.org/10.1145/3195588.3195607

Published: 16 March 2018 Publication History

Abstract

Given that the edge details of the image are not well extracted into the fused image, the cross bilateral filter (CBF) which considers both gray level similarities and geometric closeness of the neighboring pixels without smoothing edges is combined with non-subsampled contourlet transform (NSCT) in this paper for multi-focus image fusion. Firstly, the source images are decomposed into low frequency coefficients map and high frequency coefficients map through NSCT. Then the low frequency coefficients will be fused by Sum-Modified-Laplacian (SML) and the fused high frequency coefficient are obtained using CBF, and the high frequency fusion rule is a weighted average method using the weights computed from the detail images that are extracted from the two high frequency coefficient maps. Finally, the inverse NSCT is utilized to get the fused image in which all the objects are clear. At the end of this paper, in order to compare with some traditional fusion methods, some experimental results are displayed to show the superiority of this method.

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Cited By

Liu YZhou DNie RHou RDing ZXie R(2018)Brain CT and MRI medical image fusion scheme Using NSST And Dictionary Learning2018 IEEE 4th International Conference on Computer and Communications (ICCC)10.1109/CompComm.2018.8780625(1579-1583)Online publication date: Dec-2018
https://doi.org/10.1109/CompComm.2018.8780625

Index Terms

Multi-Focus Image Fusion Using Cross Bilateral Filter in NSCT Domain
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

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ICMIP '18: Proceedings of the 3rd International Conference on Multimedia and Image Processing

March 2018

125 pages

ISBN:9781450364683

DOI:10.1145/3195588

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Wuhan Univ.: Wuhan University, China
University of Electronic Science and Technology of China: University of Electronic Science and Technology of China

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 March 2018

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National Natural Science Foundation of China

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ICMIP 2018

ICMIP 2018: 2018 the 3rd International Conference on Multimedia and Image Processing

March 16 - 18, 2018

Guiyang, China

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Cited By

Liu YZhou DNie RHou RDing ZXie R(2018)Brain CT and MRI medical image fusion scheme Using NSST And Dictionary Learning2018 IEEE 4th International Conference on Computer and Communications (ICCC)10.1109/CompComm.2018.8780625(1579-1583)Online publication date: Dec-2018
https://doi.org/10.1109/CompComm.2018.8780625

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