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- Gradient-descent optimized recursive filters for deconvolution / deblurring September 5, 2022
- Progressive image stippling and greedy blue noise importance sampling August 31, 2022
- Removing blur from images – deconvolution and using optimized simple filters May 26, 2022
- Transforming “noise” and random variables through non-linearities March 16, 2022
- Fast, GPU friendly, antialiasing downsampling filter March 7, 2022
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Recent Posts
- Gradient-descent optimized recursive filters for deconvolution / deblurring September 5, 2022
- Progressive image stippling and greedy blue noise importance sampling August 31, 2022
- Removing blur from images – deconvolution and using optimized simple filters May 26, 2022
- Transforming “noise” and random variables through non-linearities March 16, 2022
- Fast, GPU friendly, antialiasing downsampling filter March 7, 2022
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Monthly Archives: September 2022
Gradient-descent optimized recursive filters for deconvolution / deblurring
This post is a follow-up to my post on deconvolution/deblurring of the images. In my previous blog post, I discussed the process of “deconvolution” – undoing a known convolution operation. I have focused on traditional convolution filters – “linear phase, … Continue reading
Posted in Code / Graphics
Tagged algorithms, digital signal processing, graphics, graphics programming, image processing, jax, maths, numpy, python, signal processing
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Bart Wronski 