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In information technology, lossy compression or irreversible compression is the class of data compression methods that uses inexact approximations and partial data discarding to represent the content. These techniques are used to reduce data size for storing, handling, and transmitting content.
In February 2021 Zamzar expanded their tool and announced a new file compression service. [10] The compressor is visually similar to the conversion tool with a drag and drop download feature. As with the converter, users have the option to subscribe for a paid plan if they wish to compress multiple or larger files than the free service permits [11]
Smallpdf is a Swiss online web-based PDF software, founded in 2013. [2] It offers free version with limited features to compress, convert and edit PDF documents. [3] And its paid version offers advanced features like OCR, compress, and more. [4]
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.
Best Compression (no preset dictionary) 78 20: x␠ No Compression (with preset dictionary) 78 7D: x} Best speed (with preset dictionary) 78 BB: x» Default Compression (with preset dictionary) 78 F9: xù: Best Compression (with preset dictionary) 62 76 78 32: bvx2: 0 lzfse LZFSE - Lempel-Ziv style data compression algorithm using Finite State ...
Format Compression algorithm Raster/ vector Maximum Color depth. Indexed color Trans-parency. Meta-data. Inter-lacing. Multi-page Anima-tion Layers Color manage-ment
Group 4 compression is available in many proprietary image file formats as well as standardized formats such as TIFF, CALS, CIT (Intergraph Raster Type 24) and the PDF document format. G4 offers a small improvement over G3-2D by removing the end-of-line (EOL) codes.
In contrast, lossy compression (e.g. JPEG for images, or MP3 and Opus for audio) can achieve much higher compression ratios at the cost of a decrease in quality, such as Bluetooth audio streaming, as visual or audio compression artifacts from loss of important information are introduced.
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