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  2. Lossless JPEG - Wikipedia

    en.wikipedia.org/wiki/Lossless_JPEG

    Typically, compressions using lossless operation mode can achieve around 2:1 compression ratio for color images. [5] This mode is quite popular in the medical imaging field, and defined as an option in DNG standard, but otherwise it is not very widely used because of complexity of doing arithmetics on 10, 12, or 14bpp values on typical embedded 32-bit processor and a little resulting gain in ...

  3. Image compression - Wikipedia

    en.wikipedia.org/wiki/Image_compression

    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.

  4. Free Lossless Image Format - Wikipedia

    en.wikipedia.org/wiki/Free_Lossless_Image_Format

    Free Lossless Image Format (FLIF) is a lossless image format claiming to outperform PNG, lossless WebP, lossless BPG and lossless JPEG 2000 in terms of compression ratio on a variety of inputs. [ 4 ]

  5. JPEGmini - Wikipedia

    en.wikipedia.org/wiki/JPEGmini

    This engine does the image transformation and generates an output that complies with all standards when paired with encode and decode blocks. With the use of this technique, JPEGmini Pro may reduce JPEG picture quality by up to 80%, or 5 times, while minimizing visual imperfections in digital photos.

  6. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

  7. Quantization (image processing) - Wikipedia

    en.wikipedia.org/wiki/Quantization_(image...

    Quantization, involved in image processing, is a lossy compression technique achieved by compressing a range of values to a single quantum (discrete) value. When the number of discrete symbols in a given stream is reduced, the stream becomes more compressible.

  8. Wikipedia : Featured picture criteria/Image size

    en.wikipedia.org/.../Image_size

    Compression of an image to reduce file size (in Kb) is usually "lossy" and is not advised for featured pictures. Image compression will reduce download times and save disk space, but it does so at the expense of fine detail and overall image quality. If in doubt, when saving JPEG files, always select the "maximum" quality setting.

  9. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Composite image showing JPG and PNG image compression. Left side of the image is from a JPEG image, showing lossy artefacts; the right side is from a PNG image. In the late 1980s, digital images became more common, and standards for lossless image compression emerged. In the early 1990s, lossy compression methods began to be widely used. [14]

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