Unblurring defocused images using multi-branch neural networks

Unblurring defocused images using multi-branch neural networks

BaMBNet: A Blur-aware Multi-branch Network for Defocus Deblurring
arXiv paper abstract https://arxiv.org/abs/2105.14766v1
arXiv PDF paper https://arxiv.org/pdf/2105.14766v1.pdf
GitHub https://github.com/junjun-jiang/BaMBNet

… novel blur-aware multi-branch network (BaMBNet), in which different regions (with different blur amounts) should be treated differentially.
In particular, we estimate the blur amounts of different regions by the internal geometric constraint of the DP data, which measures the defocus disparity between the left and right views.
… In this way, we can expect to well maintain the information of the clear regions while recovering the missing details of the blurred regions.
Both quantitative and qualitative experiments demonstrate that our BaMBNet outperforms the state-of-the-art methods. …

Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website

LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b

Photo by Clay Banks on Unsplash

--

--

AI News Clips by Morris Lee: News to help your R&D

A computer vision consultant in artificial intelligence and related hitech technologies 37+ years. Am innovator with 66+ patents and ready to help a firm's R&D.