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  2. JPEGmini - Wikipedia

    en.wikipedia.org/wiki/JPEGmini

    JPEGmini is a photo compression tool developed by Beamr Imaging Ltd released in 2012 for Mac and Windows.It designed to reduce the file size of images and videos with limited quality reduction. [1] [2] [3]

  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. libjpeg - Wikipedia

    en.wikipedia.org/wiki/Libjpeg

    The original variant is maintained and published by the Independent JPEG Group (IJG). Meanwhile, there are several forks with additional features. JPEG JFIF images are widely used on the Web. The amount of compression can be adjusted to achieve the desired trade-off between file size and visual quality. [4]

  5. JPEG XL - Wikipedia

    en.wikipedia.org/wiki/JPEG_XL

    JPEG transcoding: Being a JPEG superset, JXL provides efficient lossless recompression options for images in the traditional/legacy JPEG format that can represent JPEG data in a more space-efficient way (~20% size reduction due to the better entropy coder) and can easily be reversed, e.g. on the fly. Wrapped inside a JPEG XL file/stream, it can ...

  6. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    In the case of decreasing the pixel number (scaling down), this usually results in a visible quality loss. From the standpoint of digital signal processing, the scaling of raster graphics is a two-dimensional example of sample-rate conversion, the conversion of a discrete signal from a sampling rate (in this case, the local sampling rate) to ...

  7. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    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 ...

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