top of page

News to help your R&D in artificial intelligence, machine learning, robotics, computer vision, smart hardware

As an Amazon Associate I earn

from qualifying purchases

Writer's picturemorrislee

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



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


112 views0 comments

留言


ClickBank paid link

bottom of page