Starting from the ASCII art image we will try to guess from where did it come and how it was obtained.Ĭlearly there has been a point in the process of generating the ASCII art image where each pixel or region of pixels from the original image has been mapped to a certain character. It is not the only method to develop a general scheme of what the program has to do, but in this case we will work our way backwards. One of the (first) things I tend to do when developing software is to devise which are the steps the program should take in order to achieve the desired outcome. Any suggestions on how to improve it are welcome. Sorry if the code isn’t as clean or efficient as it could be or if the project architecture isn’t the ideal one. ( Disclaimer: I am currently learning C# and this was my first project – done with learning purposes. However, the main ideas can be easily implemented in other programming languages. The example code presented is written in C#.The post is about the algorithms and ideas that make the program work and not about a detailed explanation of the whole program.The ideas that will be explained can be extended to any kind of process were the resulting image is a composition of other images and were the aim is to resemble a target or input image.Finally, before we embark I would like to point out three things: However, we will implement and discuss some extra features or alternative implementations along the way in order to improve the results. It should be clear from the previous example that the output image has two main characteristics: it is composed solely of ASCII characters and it looks like the original image. Zooming a region of the image until characters are visible. And yes, it is only made of ASCII characters! This can be quickly checked by zooming in any section of the image. Not as impressive as you thought? If still not yet convinced (I promise this point will be revisited later on) take a look at the image at full resolution and stare at it after moving a few feet away from the screen. Original image (left) and output image (right). For those of you who are not familiar with ASCII art, what we will achieve will look (more or less) like the image below. Today we will try to generate ASCII art from images. In today’s post, we will also generate an image that will be the final output of our program, but with a totally different purpose and method. In the last post we discussed a simple method for procedurally generating 2D terrain.
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