enow.com Web Search

Search results

1. Results from the WOW.Com Content Network

2. Comparison gallery of image scaling algorithms - Wikipedia

   en.wikipedia.org/wiki/Comparison_gallery_of...

   This technique is used by Adobe Illustrator Live Trace, Inkscape, and several recent papers. [6] Scalable Vector Graphics are well suited to simple geometric images, while photographs do not fare well with vectorization due to their complexity. Note that the special characteristics of vectors allow for greater resolution example images.

3. Template:Upscaled images - Wikipedia

   en.wikipedia.org/wiki/Template:Upscaled_images

   This tag is intended to identify articles with historical images that have been upscaled by an AI process. Template parameters [Edit template data] This template prefers inline formatting of parameters. Parameter Description Type Status Affected area 1 Text to replace the word "article", usually "section" Example section Auto value section Line optional Month and year date The month and year ...

4. Image scaling - Wikipedia

   en.wikipedia.org/wiki/Image_scaling

   An image scaled with nearest-neighbor scaling (left) and 2×SaI scaling (right) In computer graphics and digital imaging, image scaling refers to the resizing of a digital image. In video technology, the magnification of digital material is known as upscaling or resolution enhancement.

5. Pixel-art scaling algorithms - Wikipedia

   en.wikipedia.org/wiki/Pixel-art_scaling_algorithms

   Next, the rotated image is created with a nearest-neighbor scaling and rotation algorithm that simultaneously shrinks the big image back to its original size and rotates the image. Finally, overlooked single-pixel details are (optionally) restored if the corresponding pixel in the source image is different and the destination pixel has three ...

6. Let's Enhance - Wikipedia

   en.wikipedia.org/wiki/Let's_Enhance

   Let's Enhance [1] is a Ukrainian start-up [2] which develops an online service driven by artificial intelligence which allows improving images and zooming them without losing quality. [3] According to the developers, [4] they used the super-resolution technology of machine learning. The neural network, trained on a large base of real ...

7. Flux (text-to-image model) - Wikipedia

   en.wikipedia.org/wiki/Flux_(text-to-image_model)

   Flux (also known as FLUX.1) is a text-to-image model developed by Black Forest Labs, based in Freiburg im Breisgau, Germany. Black Forest Labs were founded by former employees of Stability AI. As with other text-to-image models, Flux generates images from natural language descriptions, called prompts.