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In this blog post I'm going to start exploring the topic of blur filters. My original intention was to⦠-   Provide an overview and optimization ideas for a few of the popular real time image blur filters, applicable on very different range of hardware (from sub-4W mobile device GPUs to high end 250W+ desktop GPUs). -   Give an example of the techniques that runs on Windows Desktop OpenGL and An
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Overview PNG is an image format that has a history of development beginning in 1995, and it is still a popular, long living format. Generally, it is known for its features such as lossless compression and the ability to handle transparent pixels. However, we do not look at image formats from a general point of view, but rather think of ways to glitch them. When we look at PNG from the point of vie
The power of the unaided mind is highly overrated⦠The real powers come from devising external aids that enhance cognitive abilities. âDonald Norman Algorithms are a fascinating use case for visualization. To visualize an algorithm, we donât merely fit data to a chart; there is no primary dataset. Instead there are logical rules that describe behavior. This may be why algorithm visualizations are
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I needed a really fast Gaussian blur for one of my projects. After hours of struggling and browsing the internet, I finally found the best solution. Beginning My solution is based on Fast image convolutions by Wojciech Jarosz. Presented ideas are very simple and I don't know who is the original author. I am going to describe it a little better and add some mathematics. To get motivated, take a gla
The following describes how to transform a standard lens distorted image into what one would get with a perfect perspective projection (pin-hole camera). Alternatively it can be used to turn a perspective projection into what one would get with a lens. To illustrate the type of distortion involved consider a reference grid, with a 35mm lens it would look something line the image on the left, a tra
Hi there! This webpage covers the space and time Big-O complexities of common algorithms used in Computer Science. When preparing for technical interviews in the past, I found myself spending hours crawling the internet putting together the best, average, and worst case complexities for search and sorting algorithms so that I wouldn't be stumped when asked about them. Over the last few years, I
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