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SkyWatch provides a digital infrastructure for the distribution of Earth
observation data and derived intelligence.
satellite  image  data  api 
yesterday by kpieper876
Remove Background from Image –
Remove Image Background: 100% automatically – in 5 seconds – without a single click
image  transparency  generator  ml 
yesterday by vancura
UI Faces – Avatars for design mockups
Aggregator that indexes various free avatar sources that you can use in your design mockups by copy—paste, API, plugins for Sketch and Adobe XD.
image  generator 
yesterday by vancura
Image Dithering: Eleven Algorithms and Source Code
Today’s graphics programming topic – dithering – is one I receive a lot of emails about, which some may find surprising. You might think that dithering is something programmers shouldn’t have to deal with in 2012. Doesn’t dithering belong in the annals of technology history, a relic of times when “16 million color displays” were something programmers and users could only dream of? In an age when cheap mobile phones operate in full 32bpp glory, why am I writing an article about dithering?
blue-noise  noise  image  texture  dithering 
yesterday by vancura
Blue Noise links
Blue Noise links. GitHub Gist: instantly share code, notes, and snippets.
noise  image  texture  blue-noise  dithering 
yesterday by vancura
The problem with 3D blue noise
After the previous blog post several readers (namely Morgan McGuire, Mikkel Gjoel and Bart Wronski) expressed interest in 3D blue noise. Thus, this blog post provides a database of such blue noise textures. It also explains why you might not want to use it. The post relies on concepts introduced in the previous post so you should read this one first.
blue-noise  noise  image  texture  dithering 
yesterday by vancura
Image Kernels explained visually
An image kernel is a small matrix used to apply effects like the ones you might find in Photoshop or Gimp, such as blurring, sharpening, outlining or embossing. They're also used in machine learning for 'feature extraction', a technique for determining the most important portions of an image. In this context the process is referred to more generally as "convolution" (see: convolutional neural networks.)
image  kernel  math 
yesterday by vancura

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