#7374. Multi-focus image fusion based on multi-scale sparse representation

October 2026publication date
Proposal available till 31-05-2025
3 total number of authors per manuscript4500 $

The title of the journal is available only for the authors who have already paid for
Europe
Scopus Q2 , Percentile = 50+
Journal’s subject area:
Media Technology;
Electrical and Electronic Engineering;
Signal Processing;
Computer Vision and Pattern Recognition;
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Abstract:
Although colorful information in natural scenes can be collected, due to the limitation of camera depth of field, it is hard to capture an image with all-in-focus. Sparse representation (SR)-based methods have shown their powerful potentiality and ability in multi-focus image fusion. However, because of sparse coding and information compress, the existing fusion methods based on SR are imperfect to seize the rich details and significant texture information in source images. As a result, a fusion method based on multi-scale sparse representation for registered multi-focus images (MIF-MsSR) is proposed in this paper, where an adaptive fusion rule for sparse coefficients is presented.
Keywords:
Adaptive fusion rule; Multi-focus image fusion; Multi-scale decomposition; Sparse representation; Sum modified Laplacian

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