When.com Web Search

  1. Ads

    related to: free background remover

Search results

  1. Results From The WOW.Com Content Network
  2. Personalize your background image, sounds, and toolbar ...

    help.aol.com/articles/personalize-your...

    Personalize your background image, sounds, and toolbar appearance in AOL Desktop Gold. Access your settings to see several options that let you make it your own, such as updating the sounds...

  3. Wikipedia:Removal of non-free images - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Removal_of_non...

    It's easy to spruce up a page using a variety of images showing your interests, likes, dislikes, etc. and/or using such images as navigation icons. However, such use of fair use images is not permitted under copyright law in the United States, where Wikipedia hosts the vast majority of its servers.

  4. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image editors may feature a number of algorithms which can add or remove noise in an image. Some JPEG artifacts can be removed; dust and scratches can be removed and an image can be de-speckled. Noise reduction merely estimates the state of the scene without the noise and is not a substitute for obtaining a "cleaner" image.

  5. Krisp - Wikipedia

    en.wikipedia.org/wiki/Krisp

    Krisp's main product is a software application that can remove background noises and voices from audio in real-time. The software uses machine learning algorithms to analyze the audio signal and separate the speech from background noise, allowing the speech to be output in clear, noise-free audio.

  6. Foreground detection - Wikipedia

    en.wikipedia.org/wiki/Foreground_detection

    Foreground detection separates foreground from background based on these changes taking place in the foreground. It is a set of techniques that typically analyze video sequences recorded in real time with a stationary camera.

  7. Cropping (image) - Wikipedia

    en.wikipedia.org/wiki/Cropping_(image)

    The process usually consists of the removal of some of the peripheral areas of an image to remove extraneous visual data from the picture, improve its framing, change the aspect ratio, or accentuate or isolate the subject matter from its background.