Yearly Archives: 2022

Gradient-descent optimized recursive filters for deconvolution / deblurring

Posted on September 5, 2022 by bartwronski

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 →

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Progressive image stippling and greedy blue noise importance sampling

Posted on August 31, 2022 by bartwronski

Introduction I recently read the “Gaussian Blue Noise” paper by Ahmed et al. and was very impressed by the quality of their results and the rigor of their method. They provide a theoretical framework to analyze the quality of blue … Continue reading →

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Removing blur from images – deconvolution and using optimized simple filters

Posted on May 26, 2022 by bartwronski

In this post, we’ll have a look at the idea of removing blur from images, videos, or games through a process called “deconvolution”. We will analyze what makes the process of deblurring an image (blurred with a known blur kernel) … Continue reading →

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Transforming “noise” and random variables through non-linearities

Posted on March 16, 2022 by bartwronski

This post covers a topic slightly different from my usual ones and something I haven’t written much about before – applied elements of probability theory. We will discuss what happens with “noise” – a random variable – when we apply … Continue reading →

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Fast, GPU friendly, antialiasing downsampling filter

Posted on March 7, 2022 by bartwronski

In this shorter post, I will describe a 2X downsampling filter that I propose as a “safe default” for GPU image processing. It’s been an omission on my side that I have not proposed any specific filter despite writing so … Continue reading →

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Exposure Fusion – local tonemapping for real-time rendering

Posted on February 28, 2022 by bartwronski

In this post I want to close the loop and come back to the topic I described ~6y ago! Local tonemapping (I’ll refer to it as LTM) – a component I considered a missing piece in video games rendering, especially … Continue reading →

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Light transport matrices, SVD, spectral analysis, and matrix completion

Posted on February 15, 2022 by bartwronski

In this post I’ll describe a small hike into the landscape of using linear algebra methods for analyzing seemingly non-algebraic problems, like light transport. This is very common in some domains of computer science / electrical engineering (seeing everything as … Continue reading →

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Insider guide to tech interviews

Posted on January 4, 2022 by bartwronski

I’ve been meaning to write this post for over a year… an unofficial insider guide to tech interviews! This is the essence of the advice I give my friends (minus personal circumstances and preferences) all the time, and I figured … Continue reading →

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Procedural Kernel (Neural) Networks

Posted on January 3, 2022 by bartwronski

Last year I worked for a bit on a fun research project that ended up published as an arXiv “pre-print” / technical report and here comes a few paragraph “normal language” description of this work. Neural Networks are taking over … Continue reading →

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