A Novel Multi-focus Image Fusion Method Based on Non-negative Matrix Factorization
Abstract: In order to
efficiently extract the focused regions from the source images and improve the
quality of the fused image, this paper presents a novel image fusion scheme
with non-negative matrix factorization (NMF). The source images are fused by
NMF to construct temporary fused image, whose region homogeneityis used to
split the source images into regions.The focused regions are detected and integrated
to construct the final fused image. Experimental results demonstrate that the
proposedschemeis capable ofefficiently extracting the focused regions and
significantly improving the fusion quality compared to other existing fusion
methods,in terms of visualand quantitative evaluations.
Keywords: image fusion,
non-negative matrix factorization, quad tree decomposition, region homogeneity
Author: Yongxin Zhang
Journal Code: jptkomputergg140068
