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Some image file formats, like PNG or GIF, use only lossless compression, while others like TIFF and MNG may use either lossless or lossy methods. Lossless audio formats are most often used for archiving or production purposes, while smaller lossy audio files are typically used on portable players and in other cases where storage space is ...
The advantage of lossy methods over lossless methods is that in some cases a lossy method can produce a much smaller compressed file than any lossless method, while still meeting the requirements of the application. Lossy methods are most often used for compressing sound, images or videos.
Lossy (and partly lossless), DCT, RLE, and Huffman predictive nearest neighbor Raster 8 bpc No No Yes Yes No No No Yes No No (see unofficial JPEG-HDR) Yes JPEG 2000: Lossy and lossless Raster 38 bpc No Yes Yes Yes No No No Yes — No Yes JPEG XL: Lossy and lossless (VarDCT mode, Modular mode) Raster 32 bpc Yes Yes Yes Yes Yes Yes Yes Yes Yes ...
Image compression may be lossy or lossless. Lossless compression is preferred for archival purposes and often for medical imaging, technical drawings, clip art, or comics. Lossy compression methods, especially when used at low bit rates, introduce compression artifacts. Lossy methods are especially suitable for natural images such as ...
Additionally, there is a "modular mode" for synthetic image content and lossless compression. Optional lossy quantization enables both lossless and lossy compression. The name refers to the design committee , the X designates the series of its image coding standards published since 2000 (JPEG XT/XR/XS), and L stands for "long-term ...
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 ]
Unlike the lossy mode which is based on the DCT, the lossless coding process employs a simple predictive coding model called differential pulse-code modulation (DPCM). This is a model in which predictions of the sample values are estimated from the neighboring samples that are already coded in the image.
JBIG2 is an image compression standard for bi-level images, developed by the Joint Bi-level Image Experts Group.It is suitable for both lossless and lossy compression. . According to a press release [1] from the Group, in its lossless mode JBIG2 typically generates files 3–5 times smaller than Fax Group 4 and 2–4 times smaller than JBIG, the previous bi-level compression standard released by