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2. Let's Enhance - Wikipedia

   en.wikipedia.org/wiki/Let's_Enhance

   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 ...

3. Image scaling - Wikipedia

   en.wikipedia.org/wiki/Image_scaling

   Image scaling. 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 . When scaling a vector graphic image, the graphic primitives that make up the image can be scaled using geometric ...

4. Deep learning super sampling - Wikipedia

   en.wikipedia.org/wiki/Deep_learning_super_sampling

   Deep learning super sampling. Deep learning super sampling ( DLSS) is a family of real-time deep learning image enhancement and upscaling technologies developed by Nvidia that are exclusive to its RTX line of graphics cards, [ 1] and available in a number of video games. The goal of these technologies is to allow the majority of the graphics ...

5. Fotor - Wikipedia

   en.wikipedia.org/wiki/Fotor

   Fotor's software is available on mobile devices, desktop computers, and online as a web app. [5] It offers a suite of image editing tools and features for users to edit and enhance photos quickly and easily. Fotor One-Tap Photo Enhancer is a tool that is designed to automatically improve image quality and fix common imaging problems.

6. Deep image prior - Wikipedia

   en.wikipedia.org/wiki/Deep_Image_Prior

   Deep image prior. Deep image prior is a type of convolutional neural network used to enhance a given image with no prior training data other than the image itself. A neural network is randomly initialized and used as prior to solve inverse problems such as noise reduction, super-resolution, and inpainting. Image statistics are captured by the ...

7. Image restoration by artificial intelligence - Wikipedia

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

   Digital photograph restoration and colorization using artificial intelligence. Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such as motion blur, noise and camera mis-focus. [1] Image restoration is performed by reversing the process that blurred ...