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  2. Comparison of word processor programs - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_word...

    Applix Word: Vistasource Inc. GNU/Linux 6.0 Proprietary: Cost 1992 Windows Atlantis Word Processor: The Atlantis Word Processor Team 2000 Windows 4.4.2.1 [5] 2024-11-08 Proprietary: No cost and cost Bean: James Hoover 2007-05-01 macOS 3.7.0 [6] 2024-05-16 Proprietary: No cost [b] Calligra Words: KDE: 1998 BSD 4.0.1 [7] 2024-09-02 LGPL: No cost ...

  3. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    Scalable Vector Graphics are well suited to simple geometric images, while photographs do not fare well with vectorization due to their complexity. Note that the special characteristics of vectors allow for greater resolution example images. The other algorithms are standardized to a resolution of 160x160 and 218x80 pixels respectively.

  4. Image subtraction - Wikipedia

    en.wikipedia.org/wiki/Image_subtraction

    The complexity of the pre-processing needed before differencing varies with the type of image, but is essential to ensure good subtraction of static features. This is commonly used in fields such as time-domain astronomy (known primarily as difference imaging ) to find objects that fluctuate in brightness or move.

  5. 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.

  6. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding. [1] In the simplest form, the algorithm returns a single intensity threshold that separate pixels into two classes, foreground and background.

  7. 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]

  8. Enlarge or reduce the font size on your web browser

    help.aol.com/articles/how-do-i-enlarge-or-reduce...

    Make web pages easy to read for you! With simple keyboard shortcuts, you can zoom in or out to make text larger or smaller. In an instant, these commands improve the readability of the content you're viewing.

  9. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    For images, this step can be repeated by taking the difference to the top pixel, and then in videos, the difference to the pixel in the next frame can be taken. A hierarchical version of this technique takes neighboring pairs of data points, stores their difference and sum, and on a higher level with lower resolution continues with the sums.