Improved deblurring of images with guided image generation in W-DIP
Improved deblurring of images with guided image generation in W-DIP
Wiener Guided DIP for Unsupervised Blind Image Deconvolution
arXiv paper abstract https://arxiv.org/abs/2112.10271v1
arXiv PDF paper https://arxiv.org/pdf/2112.10271v1.pdf
Blind deconvolution is an ill-posed problem arising in various fields ranging from microscopy to astronomy.
The ill-posed nature of the problem requires adequate priors to arrive to a desirable solution.
Recently ... deep learning architectures can serve as an image generation prior during unsupervised blind deconvolution optimization,
however often exhibiting a performance fluctuation even on a single image.
... propose to use Wiener-deconvolution to guide the image generator during optimization by providing it a sharpened version of the blurry image using an auxiliary kernel estimate starting from a Gaussian.
... proposed method yields higher stability and performance across multiple datasets. ...
Please like and share this post if you enjoyed it using the buttons at the bottom!
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
留言