The library provides a CLI method to generate the quantified images. Second, the dithering method is based exclusively on Floyd-Steinberg dithering method, but there are other dithering algorithm, which can be used (ex.First, even if the core draw method uses an error quantization algorithm, it does not provide support for the quantization level, which means to how many colors we wish to reduce the original image.The reason why I opted for a custom quantization and dithering algorithm are twofold: The implementation is mainly based on the article from Leptonica.
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During the installation, read the license agreement and accept it, or exit if you do not agree with the terms. Choose this method or, to manually launch the setup program, navigate to setup.exe in your download folder. To create a smoother transition between colors and to wash out the edges various dithering methods can be plugged in. The ArcGIS Desktop download offers the option to start the installation after the files have been extracted. They have visible contouring in regions where the color changes slowly. Even with the best set of 256 colors, there are many images that look bad. The purpose of color quantization is to reduce the color palette of an image to a fraction of it's initial colors (usually 256), but to preserve it's representative colors and to elliminate visual artifacts at the same time. It can be considered as a replacement for the quantization and dithering part of the draw method from the core image library for various reasons (see below). Colorquant is an image / color quantization library written in Go.