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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. ...



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