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Fast RotSprite is a fast rotation algorithm for pixel art developed by Oleg Mekekechko for the Pixel Studio app. It is based on RotSprite but has better performance with slight quality loss. It can process larger images in real-time. Instead of the 8× upscale, Fast RotSprite uses a single 3× upscale.
For magnifying computer graphics with low resolution and few colors (usually from 2 to 256 colors), better results will be achieved by pixel art scaling algorithms such as hqx or xbr. These produce sharp edges and maintain high level of detail.
For each pixel, the surrounding 8 pixels are compared to the color of the source pixel. Shapes are detected by checking for pixels of similar color according to a YUV threshold. hqx uses the YUV color space to calculate color differences, so that differences in brightness are weighted higher to order to mimic human perception. [ 2 ]
As pixel-art graphics are usually low-resolution, they rely on careful placement of individual pixels, often with a limited palette of colors. This results in graphics that rely on stylized visual cues to define complex shapes with little resolution, down to individual pixels. This makes scaling pixel art a particularly difficult problem.
Pixel art [note 1] is a form of digital art drawn with graphical software where images are built using pixels as the only building block. [2] It is widely associated with the low-resolution graphics from 8-bit and 16-bit era computers, arcade machines and video game consoles, in addition to other limited systems such as LED displays and graphing calculators, which have a limited number of ...
Note: The draw_pixel routine above cannot blindly set the colour value to the percent calculated. It must add the new value to the existing value at that location up to a maximum of 1. Otherwise, the brightness of each pixel will be equal to the darkest value calculated in time for that location which produces a very bad result.
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waifu2x is an image scaling and noise reduction program for anime-style art and other types of photos. [1] waifu2x was inspired by Super-Resolution Convolutional Neural Network (SRCNN). [2] [3] It uses Nvidia CUDA for computing, [4] although alternative implementations that allow for OpenCL [5] and Vulkan [6] have been created.
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