Physical Sciences›Engineering›Media Technology
Advanced Image Fusion Techniques
This cluster of papers focuses on the fusion of multispectral and hyperspectral images using techniques such as wavelet transform, sparse representation, convolutional neural networks, and pansharpening. The research covers methods for remote sensing, image quality assessment, and applications in fields such as medical imaging.
- Works
- 32,474
- Total citations
- 432,438
- Keywords
- Image FusionMultispectralHyperspectralWavelet TransformSparse RepresentationConvolutional Neural Network
Top papers in Advanced Image Fusion Techniques
Ordered by total citation count.
- Image quality assessment: from error visibility to structural similarity↗ 55,321
- A theory for multiresolution signal decomposition: the wavelet representation↗ 20,972
- Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering↗ 9,113
- Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising↗ 8,682OA
- Orthonormal bases of compactly supported wavelets↗ 8,171
- Bilateral filtering for gray and color images↗ 8,059
- A Non-Local Algorithm for Image Denoising↗ 7,069
- Making a “Completely Blind” Image Quality Analyzer↗ 6,252
- Single Image Haze Removal Using Dark Channel Prior↗ 5,997
- Multiscale structural similarity for image quality assessment↗ 5,834
- A universal image quality index↗ 5,701
- No-Reference Image Quality Assessment in the Spatial Domain↗ 5,671
Active researchers
Top authors in this area, ranked by h-index.