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Instead, just eliminate JPEG artifacts as much as possible and convert to 24-bit PNG. Using the posterize option of your graphics editor with a high setting (like 40) may further reduce filesize and eliminate more artifacts without visibly reducing image quality. You can try using pngquant on the 24-bit result; this produces indexed mode images ...
Image compression is a type of data compression applied to digital images, to reduce their cost for storage or transmission. Algorithms may take advantage of visual perception and the statistical properties of image data to provide superior results compared with generic data compression methods which are used for other digital data.
While data reduction (compression, be it lossy or lossless) is a main goal of transform coding, it also allows other goals: one may represent data more accurately for the original amount of space [5] – for example, in principle, if one starts with an analog or high-resolution digital master, an MP3 file of a given size should provide a better ...
This characteristic sometimes results in a smaller file size for some lossless formats than lossy formats. For example, graphically simple images (i.e. images with large continuous regions like line art or animation sequences) may be losslessly compressed into a GIF or PNG format and result in a smaller file size than a lossy JPEG format.
A truecolour PNG can often be converted to indexed mode without changing the look of the image, while saving on file size. (See color depth for information on indexed mode and truecolour.) It is normal for image editing programs to produce poor PNG compression, even when run with their maximum compression choices.
Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.
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