A morphological pyramidal image decomposition
References (8)
Grayscale morphology
Computer Vision, Graphics and Image Processing
(1986)- et al.
The Laplacian pyramid as a compact image code
IEEE Trans. Comm.
(1983) - et al.
- et al.
Image analysis using mathematical morphology
IEEE Trans. Pattern Anal. Machine Intell.
(1987)
There are more references available in the full text version of this article.
Cited by (251)
TransFusion-net for multifocus microscopic biomedical image fusion
2023, Computer Methods and Programs in BiomedicineLRINet: Long-range imaging using multispectral fusion of RGB and NIR images
2023, Information FusionRethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methods
2023, Intelligent Systems with ApplicationsTri-modal medical image fusion based on adaptive energy choosing scheme and sparse representation
2022, Measurement: Journal of the International Measurement ConfederationCitation Excerpt :TDB methods are mainly based on the multi-scale transform (MST), which contain three steps: performing a given MST, fusing the coefficients based on specific rules, and reconstructing the fused result using the corresponding inverse MST. Typical MST tools include the Laplacian pyramid transform [6], morphological pyramid transform [7], discrete wavelet transform [8], double complex tree wavelet transform [9], contourlet transform (CT) [10], non-subsampled contourlet transform (NSCT) [11,12], and non-subsampled shearlet transform (NSST) [13]. Du et al. [14] developed a local energy maximization and information-of-interest-based method using the local Laplacian filter domain.
Medical image fusion based on improved multi-scale morphology gradient-weighted local energy and visual saliency map
2022, Biomedical Signal Processing and ControlMedical image fusion based on type-2 fuzzy sets with teaching learning based optimization
2024, Multimedia Tools and Applications
Copyright © 1989 Published by Elsevier B.V.