A Novel Geometric Dictionary Construction Approach for Sparse Representation Based Image Fusion
AbstractSparse-representation based approaches have been integrated into image fusion methods in the past few years and show great performance in image fusion. Training an informative and compact dictionary is a key step for a sparsity-based image fusion method. However, it is difficult to balance “informative” and “compact”. In order to obtain sufficient information for sparse representation in dictionary construction, this paper classifies image patches from source images into different groups based on morphological similarities. Stochastic coordinate coding (SCC) is used to extract corresponding image-patch information for dictionary construction. According to the constructed dictionary, image patches of source images are converted to sparse coefficients by the simultaneous orthogonal matching pursuit (SOMP) algorithm. At last, the sparse coefficients are fused by the Max-L1 fusion rule and inverted to a fused image. The comparison experimentations are simulated to evaluate the fused image in image features, information, structure similarity, and visual perception. The results confirm the feasibility and effectiveness of the proposed image fusion solution. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Wang, K.; Qi, G.; Zhu, Z.; Chai, Y. A Novel Geometric Dictionary Construction Approach for Sparse Representation Based Image Fusion. Entropy 2017, 19, 306.
Wang K, Qi G, Zhu Z, Chai Y. A Novel Geometric Dictionary Construction Approach for Sparse Representation Based Image Fusion. Entropy. 2017; 19(7):306.Chicago/Turabian Style
Wang, Kunpeng; Qi, Guanqiu; Zhu, Zhiqin; Chai, Yi. 2017. "A Novel Geometric Dictionary Construction Approach for Sparse Representation Based Image Fusion." Entropy 19, no. 7: 306.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.