enow.com Web Search

  1. Ad

    related to: lossy compression pros and cons

Search results

  1. Results from the WOW.Com Content Network
  2. Lossy compression - Wikipedia

    en.wikipedia.org/wiki/Lossy_compression

    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.

  3. JBIG2 - Wikipedia

    en.wikipedia.org/wiki/JBIG2

    JBIG2 is an image compression standard for bi-level images, developed by the Joint Bi-level Image Experts Group.It is suitable for both lossless and lossy compression. . According to a press release [1] from the Group, in its lossless mode JBIG2 typically generates files 3–5 times smaller than Fax Group 4 and 2–4 times smaller than JBIG, the previous bi-level compression standard released by

  4. Comparison of video codecs - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_video_codecs

    The compression may employ lossy data compression, so that quality-measurement issues become important. Shortly after the compact disc became widely available as a digital-format replacement for analog audio, it became feasible to also store and use video in digital form.

  5. Compression artifact - Wikipedia

    en.wikipedia.org/wiki/Compression_artifact

    A compression artifact (or artefact) is a noticeable distortion of media (including images, audio, and video) caused by the application of lossy compression. Lossy data compression involves discarding some of the media's data so that it becomes small enough to be stored within the desired disk space or transmitted (streamed) within the ...

  6. Image file format - Wikipedia

    en.wikipedia.org/wiki/Image_file_format

    Lossy compression algorithms preserve a representation of the original uncompressed image that may appear to be a perfect copy, but is not a perfect copy. Often lossy compression is able to achieve smaller file sizes than lossless compression. Most lossy compression algorithms allow for variable compression that trades image quality for file size.

  7. Discrete cosine transform - Wikipedia

    en.wikipedia.org/wiki/Discrete_cosine_transform

    The DCT, and in particular the DCT-II, is often used in signal and image processing, especially for lossy compression, because it has a strong energy compaction property. [ 5 ] [ 6 ] In typical applications, most of the signal information tends to be concentrated in a few low-frequency components of the DCT.

  8. 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.

  9. Comparison of audio coding formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_audio_coding...

    The 'Music' category is merely a guideline on commercialized uses of a particular format, not a technical assessment of its capabilities. For example, MP3 and AAC dominate the personal audio market in terms of market share, though many other formats are comparably well suited to fill this role from a purely technical standpoint.

  1. Ad

    related to: lossy compression pros and cons