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Recent Posts
- How I use ChatGPT daily (scientist/coder perspective) January 22, 2024
- Praising hacking and low-tech solutions. ChatGPT wrote me a personal Javascript browser “plugin.” September 17, 2023
- I left Silicon Valley for NYC 2.5y ago – a retrospective September 4, 2023
- Gradient-descent optimized recursive filters for deconvolution / deblurring September 5, 2022
- Progressive image stippling and greedy blue noise importance sampling August 31, 2022
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Recent Posts
- How I use ChatGPT daily (scientist/coder perspective) January 22, 2024
- Praising hacking and low-tech solutions. ChatGPT wrote me a personal Javascript browser “plugin.” September 17, 2023
- I left Silicon Valley for NYC 2.5y ago – a retrospective September 4, 2023
- Gradient-descent optimized recursive filters for deconvolution / deblurring September 5, 2022
- Progressive image stippling and greedy blue noise importance sampling August 31, 2022
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Categories
Tag Archives: digital signal processing
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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Study of smoothing filters – Savitzky-Golay filters
Last week I saw Daniel Holden tweeting about Savitzky-Golay filters and their properties (less smoothing than a Gaussian filter) and I got excited… because I have never heard of them before and it’s an opportunity to learn something. When I … Continue reading
Posted in Code / Graphics
Tagged algorithms, digital signal processing, image processing, maths, python, signal processing
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Practical Gaussian filtering: Binomial filter and small sigma Gaussians
Gaussian filters are the bread and butter of signal and image filtering. They are isotropic and radially symmetric, filter out high frequencies extremely well, and just look pleasant and smooth. In this post I will cover two of my favorite … Continue reading
Processing aware image filtering: compensating for the upsampling
This post summarizes some thoughts and experiments on “filtering aware image filtering” I’ve been doing for a while. The core idea is simple – if you have some “fixed” step at the end of the pipeline that you cannot control … Continue reading
Posted in Code / Graphics
Tagged algorithms, digital signal processing, filtering, graphics, image processing, jax, postprocessing, signal processing
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Computing gradients on grids of pixels and voxels – forward, central, and… diagonal differences
In this post, I will focus on gradients of image signals defined on grids in computer graphics and image processing. Specifically, gradients / derivatives of images, height fields, distance fields, when they are represented as discrete, uniform grids of pixels … Continue reading
Bilinear down/upsampling, aligning pixel grids, and that infamous GPU half pixel offset
It’s been more than two decades of me using bilinear texture filtering, a few months since I’ve written about bilinear resampling, but only two days since I discovered a bug of mine related to it. 😅 Similarly, just last week … Continue reading
Posted in Code / Graphics
Tagged digital signal processing, gpu, image processing, libraries, numpy, sampling, signal processing, upsampling
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Converting wavetables to Ableton Operator AMS waves
This blog post comes with Ableton Operator AMS “wavetables” here. In Ableton’s FM synth you can use different types of oscillator waves as your operators (both carriers as well as modulators), as well as draw custom ones: What is not … Continue reading
Posted in Audio / Music / DSP
Tagged ableton, digital signal processing, dsp, fourier, frequency domain, numpy, python, synthesis
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