The proposed dictionary learning is aimed to remove the redundancy while maintaining or improving the quality of multimodal image fusion. Multimodal images for ...
A clustering-based dictionary learning is proposed for multimodal image fusion. Patches from different sources are clustered with their structural similarities.
The proposed method requires lower processing time with better fusion quality. Constructing a good dictionary is the key to a successful image fusion technique ...
A clustering-based dictionary learning is proposed for multimodal image fusion.•Patches from different sources are clustered with their structural similarities.
This paper classifies image patches from source images into different groups based on morphological similarities using Stochastic coordinate coding (SCC) to ...
These image fusion methods using sparse representation can represent the different frequency sub-bands by sparse coefficients and reconstruct the fusion results ...
Jan 1, 2016 · An efficient dictionary learning method based on a joint patch clustering is proposed for multimodal image fusion. To construct an over-complete ...
Apr 1, 2015 · An efficient dictionary learning method based on a joint patch clustering is proposed for multimodal image fusion. To construct an over ...
For the image fusion method using sparse representation, the adaptive dictionary and fusion rule have a great influence on the multi-modality image fusion, ...
Missing: multimodal | Show results with:multimodal
The proposed improved multi-modality image fusion method by combining the joint patch clustering-based adaptive dictionary and sparse representation has the ...