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  2. Canva - Wikipedia

    en.wikipedia.org/wiki/Canva

    A new Canva look and features, dubbed "the glow up" was featured at the Canva Create 2024 Event. They have been giving out beta versions over time, and there was a secret button pattern to unlock the beta, but that was closed, now it is being rolled out by time.

  3. Wallpaper (computing) - Wikipedia

    en.wikipedia.org/wiki/Wallpaper_(computing)

    A computer screen showing a background wallpaper photo of the Palace of Versailles. A wallpaper or background (also known as a desktop background, desktop picture or desktop image on computers) is a digital image (photo, drawing etc.) used as a decorative background of a graphical user interface on the screen of a computer, smartphone or other electronic device.

  4. Raw image format - Wikipedia

    en.wikipedia.org/wiki/Raw_image_format

    The time taken in the image workflow is an important factor when choosing between raw and ready-to-use image formats. With modern photo editing software the additional time needed to process raw images has been greatly reduced but it still requires an extra step in workflow in comparison with using out-of-camera JPEGs.

  5. Canvas X - Wikipedia

    en.wikipedia.org/wiki/Canvas_X

    Canvas GFX's origins date back to 1986. The original idea for Canvas came from Jorge Miranda, Manuel Menendez, and Joaquin DeSoto, the founders of Deneba Systems Inc. of Miami Florida, for Apple's Macintosh computers—part of the wave of programs that made the desktop publishing revolution.

  6. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  7. Foreground detection - Wikipedia

    en.wikipedia.org/wiki/Foreground_detection

    Here using simple arithmetic calculations, we can segment out the objects simply by using image subtraction technique of computer vision meaning for each pixels in I(t), take the pixel value denoted by P[I(t)] and subtract it with the corresponding pixels at the same position on the background image denoted as P[B].

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