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2. Comparison gallery of image scaling algorithms - Wikipedia

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

   Then the resolution-independent version is rendered as a raster image at the desired resolution. 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.

3. 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 ...

4. Image restoration by artificial intelligence - Wikipedia

   en.wikipedia.org/wiki/Image_restoration_by...

   The most straightforward and a conventional technique for image restoration is deconvolution, which is performed in the frequency domain and after computing the Fourier transform of both the image and the PSF and undo the resolution loss caused by the blurring factors. Nowadays, photo restoration is done using digital tools and software to fix ...

5. Google DeepMind’s new Veo 2 AI video generator trounces ...

   www.aol.com/finance/google-deepmind-veo-2-ai...

   DeepMind also announced an updated version of its Imagen 3 text-to-image model, though the changes—like “more compositionally balanced” images and improved adherence to artistic styles ...

6. Deep learning super sampling - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_super_sampling

   Nvidia has also introduced Deep learning dynamic super resolution (DLDSR), a related and opposite technology where the graphics are rendered at a higher resolution, then downsampled to the native display resolution using an artificial intelligence-assisted downsampling algorithm to achieve higher image quality than rendering at native resolution.

7. Image scaling - Wikipedia

   en.wikipedia.org/wiki/Image_scaling

   Image scaling can be interpreted as a form of image resampling or image reconstruction from the view of the Nyquist sampling theorem. According to the theorem, downsampling to a smaller image from a higher-resolution original can only be carried out after applying a suitable 2D anti-aliasing filter to prevent aliasing artifacts. The image is ...