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In comparison, when storing images that contain text, line art, or graphics – images with sharp transitions and large areas of solid color – the PNG format can compress image data more than JPEG can. Additionally, PNG is lossless, while JPEG produces visual artifacts around high-contrast areas.
There are many formats that can be used, such as JPEG, PNG, and GIF. Most formats up until 2022 were for storing 2D images, not 3D ones. The data stored in an image file format may be compressed or uncompressed. If the data is compressed, it may be done so using lossy compression or lossless compression.
JPEG typically achieves 10:1 compression with little perceptible loss in image quality. [3] Since its introduction in 1992, JPEG has been the most widely used image compression standard in the world, [4] [5] and the most widely used digital image format, with several billion JPEG images produced every day as of 2015.
Huffman coding is a fundamental technique used in image compression algorithms to achieve efficient data representation. Named after its inventor David A. Huffman, this method is widely employed in various image compression standards such as JPEG and PNG. Principle of Huffman Coding
If a diagram cannot be produced in SVG, then a PNG image is preferred over a JPEG. The PNG compression algorithm is designed to work with large areas of solid colour that have sharp boundaries. It is therefore a good format for diagrams and cartoons.
Unisys (compression algorithm) .gif, .gfa, .giff image/gif ... None, RLE, JPEG, and PNG Raster 16 bpc Yes Yes No No No No No Yes No No BPG: HEVC, Lossy and lossless