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  2. List of file signatures - Wikipedia

    en.wikipedia.org/wiki/List_of_file_signatures

    Online File Signature Database for Forensic Practitioners, a private compilation free to Law Enforcement; Man page for compress, uncompress, and zcat on SCO Open Server; Public Database of File Signatures [dead link ‍] Complete list of magic numbers with sample files; the original libmagic data files with thousands of entries as used by file ...

  3. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem.According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts.

  4. Comparison of file systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_file_systems

    File system Hard links Symbolic links Block journaling Metadata-only journaling Case-sensitive Case-preserving File Change Log XIP Resident files (inline data)

  5. AOL Mail for Verizon Customers - AOL Help

    help.aol.com/products/aol-mail-verizon

    AOL Mail welcomes Verizon customers to our safe and delightful email experience!

  6. Wikipedia:Article size - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Article_size

    As the page loads, the bottom status network tab will display a number of statistics, the second from the left will indicate the amount of data transferred (e.g. "### kB transferred"), and the third will indicate the size of all resources after they have been decompressed. Once the page has completely finished loading, these numbers should ...

  7. Seam carving - Wikipedia

    en.wikipedia.org/wiki/Seam_carving

    Original image to be made narrower Scaling is undesirable because the castle is distorted. Cropping is undesirable because part of the castle is removed. Seam carving. Seam carving (or liquid rescaling) is an algorithm for content-aware image resizing, developed by Shai Avidan, of Mitsubishi Electric Research Laboratories (MERL), and Ariel Shamir, of the Interdisciplinary Center and MERL.

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