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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.
Why doesn't the article mention a good JPEG file size reducer, JPEG Cleaner? It doesn't worsen the image quality, it just removes useless data. I am not the only one who likes it. -Anon. 14:25, 9 Jul 2004 (UTC) I think we're just a bit nervous about any technology which actually changes the content of the image.
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 ...
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.
The JPEG filename extension is JPG or JPEG. Nearly every digital camera can save images in the JPEG format, which supports eight-bit grayscale images and 24-bit color images (eight bits each for red, green, and blue). JPEG applies lossy compression to images, which can result in a significant reduction of the file size.
This page was last edited on 13 September 2020, at 09:08 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
Sometimes the space saving is given instead, which is defined as the reduction in size relative to the uncompressed size: S p a c e S a v i n g = 1 − C o m p r e s s e d S i z e U n c o m p r e s s e d S i z e {\displaystyle {\rm {Space\;Saving}}=1-{\frac {\rm {Compressed\;Size}}{\rm {Uncompressed\;Size}}}}
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