IEEE Signal Processing Letters· 2016Q1
Image Fusion With Convolutional Sparse Representation
- 978citations
- Q1SCImago
- 2016year
Short summary
A new image fusion framework using convolutional sparse representation (CSR) decomposes images into base and detail layers, outperforming traditional sparse representation (SR) methods in detail preservation and misregistration robustness.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Media Technology
Media TechnologyEngineering