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  2. 123RF - Wikipedia

    en.wikipedia.org/wiki/123RF

    These include Generative Fill [14] for removing and replacing unwanted content or objects within images, Image Extender [15] for expanding image size, Image Upscaler [16] for increasing image resolution and improving image quality, Background Remix [17] for modifying and generating image backgrounds, Background Remover [18] for isolating ...

  3. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    The background image is used as the bottom layer, and the image with parts to be added are placed in a layer above that. Using an image layer mask , all but the parts to be merged is hidden from the layer, giving the impression that these parts have been added to the background layer.

  4. Wikipedia:How to improve image quality - Wikipedia

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

    Images can often be improved – or even transformed – by using graphics software such as Photoshop or the free GIMP and Paint.NET applications. Many other programs also have photo-enhancing tools, including facilities for semi-automatic image enhancement, so that you need only click a button, or choose a thumbnail, to have a positive effect on image quality.

  5. Boris Continuum Complete - Wikipedia

    en.wikipedia.org/wiki/Boris_Continuum_Complete

    Boris Continuum Complete is a special effects plug-in package that works in conjunction with Adobe Creative Suite, including CS6, Avid editing and finishing systems such as Sony Vegas Pro, and Apple Final Cut Pro.

  6. Luminar Neo - Wikipedia

    en.wikipedia.org/wiki/Luminar_Neo

    Background Removal AI automatically removes the background behind one or multiple subjects in a photo. HDR Merge lets users combine up to 10 photos to create an HDR image that brings out important details from the brightest and darkest parts of photos. Focus Stacking stacks up to 100 photos with different points of focus.

  7. Gaussian blur - Wikipedia

    en.wikipedia.org/wiki/Gaussian_blur

    The difference between a small and large Gaussian blur. In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician and scientist Carl Friedrich Gauss). It is a widely used effect in graphics software, typically to reduce image noise and reduce detail.