For this square dimension flower, we can only see the cuts being done horizontally.ģrd party imported and modified glitch libraryīased on kimasendorf/ASDFPixelSort. As a general rule, when the width is wider than the height we see the image is also being cut vertically and horizontally. How this Pixel Shell sorting cuts and reassemble the image depends on the image width x height and the colour hue|brightness. The glitchLevel range is and is used to control the size of the max gap interval of the pixel sorting (using the variable glitch) and stopping when the gap reaches the limit given. No difference from a normal Shell sorting.
The glitchLevel range is and is used to control how many division|merges are done during the sorting before stopping.īased on Pixel Shell Sorting. No difference from a normal Merge sorting. The glitchLevel 10 is done by only doing the 1st "heapify" pass and not finishing the sorting, and that gives the tree-like appearance to image repeating itself.īased on Pixel Merge Sorting. The higher the level, more of the image is sorted, but in an incomplete form. The glitchLevel 0 to 9 are constructed by "heapify" the image array without doing the 1st "heapify" pass that creates the heap tree. It is very, very slow and the bigger the image, it gets exponentially slow.īelow two examples of an image glitched, with the pixels either sorted by hue or brightness:īased on Pixel Heap Sorting. For a better effect, it is necessary several passes, but the problem is that the speed of this method is the same as the selection sort. Since the swap of the select pixel is based on a correct measure, but only transposed for a small distance, the glitch happens on localized places across the image. This glitches the image in a very unique way, like a wind is blowing the pixels. The selection of each pixel is not done correctly because the swap of the selected Pixel step is still inside the loop that looks for all the pixels properties. Personal created glitch libraryīased on Pixel Selection Sort and also as inefficient as that. The example images are a good measure of the levels of glitch and how extensive it tarnishes the picture. I wrote a brief explanation of how each algorithm works on selecting the pixels and glitch an image. For each frame, the process will run a multiStep times.īellow the examples on how each glitch visualization method operates. This is used to control speed of sorting process.
#Pixel sorter github how to
As the name sugests the user can select how to sort the pixels by hue or brightness String sortPixelMethod -> can be either "hue" or "brightness".If the image is bigger than the device's screen, it will rescale the image to 80% of the screen. boolean showBothIMG -> can be either "true" or "false" If true, it shows both imgs side by side, otherwise it only shows the sorted img with the original image in the corner reduced to 20% the size.Some sketches have their own option variables and they are at the start of the sketch with instruction with their meaning. Most of the processing sketches have the following common variables to control the visualization and sorting. I also included some external library sketches and all the credits and original source to their work is given here. This is a by-product from my pixel sorting library and some other stuff I come by. Image glitch visualization using various Pixel Sorting methods for Processing v3.
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