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非抽样双树复小波域的 BPP-NMF 图像融合

陈清江 魏冰蔗 柴昱洲 张彦博

液晶与显示2016,Vol.31Issue(8):784-792,9.
液晶与显示2016,Vol.31Issue(8):784-792,9.DOI:10.3788/YJYXS20163108.0784

非抽样双树复小波域的 BPP-NMF 图像融合

Image fusion based on block principal pivoting nonnegative matrix in undecimated dual-tree complex wavelet domain

陈清江 1魏冰蔗 1柴昱洲 2张彦博1

作者信息

  • 1. 西安建筑科技大学 理学院,陕西 西安 710055
  • 2. 陕西西安空间电子信息技术研究院,陕西 西安 710055
  • 折叠

摘要

Abstract

A multi-focus image fusion algorithm based on undecimated dual-tree complex wavelet transform(UDT-CWT)domain and block principal pivoting method for nonnegative matrix factoriza-tion(BPP-NMF)is proposed.Firstly,combined with its shift invariance and good directional selectivi-ty,the source images are decomposed to sub-band images with multi-scales and multi-directions by UDT-CWT,thus the low frequency sub-band coefficients and high frequency sub-band coefficients are obtained.The fusion strategy of low frequency sub-band coefficients was based on the method of non-negative matrix factorization which adopted the block principal pivoting method;while for high fre-quency sub-band,a fusion rule adopting the consistency selection of Gaussian-weighted regional energy and area standard deviation is presented.Finally,the fused low and high frequency coefficients are reconstructed to image by undecimated dual-tree complex wavelet inverse transform.Fusion result is done with several sets of different multi-focus images, both subjective visual evaluation and objective performance assessments of these results are implemented.Results indicate that the fusion algorithm not only has good subjective visual effects,but also better than other general fusion strate-gies in the objective evaluation;hence the algorithm is effective.

关键词

非抽样双树复小波变换/非负矩阵分解/块主元旋转法/加权区域能量/图像融合

Key words

undecimated dual-tree complex wavelet transform/nonnegative matrix factorization/block principal pivoting method/weighted regional energy/image fusion

分类

信息技术与安全科学

引用本文复制引用

陈清江,魏冰蔗,柴昱洲,张彦博..非抽样双树复小波域的 BPP-NMF 图像融合[J].液晶与显示,2016,31(8):784-792,9.

基金项目

国家自然科学基金(No.61403298) (No.61403298)

陕西省自然科学基金(No.2015JM1024) Supported by National Nature Science Foundation of China(No.61403298) (No.2015JM1024)

Natural Science Foundation of Shanxi Province of China(No.2015JM1024) (No.2015JM1024)

液晶与显示

OA北大核心CSCDCSTPCD

1007-2780

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