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  2. Image scaling - Wikipedia

    en.wikipedia.org/wiki/Image_scaling

    Image upscaled 400% using Topaz A.I. Gigapixel with Low noise reduction Image upscaled 400% using RealSR DF2K-JPEG AI-driven software such as the MyHeritage Photo Enhancer allows detail and sharpness to be added to historical photographs, where it is not present in the original.

  3. Noise Ninja - Wikipedia

    en.wikipedia.org/wiki/Noise_Ninja

    Noise Ninja is a proprietary noise reduction application and Photoshop plugin which attempts to eliminate noise present in photos taken with a digital camera.It uses custom profiles for each camera to increase the effectiveness of the noise reduction algorithms used.

  4. Noise reduction - Wikipedia

    en.wikipedia.org/wiki/Noise_reduction

    Noise reduction is the process of removing noise from a signal.Noise reduction techniques exist for audio and images. Noise reduction algorithms may distort the signal to some degree.

  5. Total variation denoising - Wikipedia

    en.wikipedia.org/wiki/Total_variation_denoising

    The regularization parameter plays a critical role in the denoising process. When =, there is no smoothing and the result is the same as minimizing the sum of squares.As , however, the total variation term plays an increasingly strong role, which forces the result to have smaller total variation, at the expense of being less like the input (noisy) signal.

  6. Nik Collection - Wikipedia

    en.wikipedia.org/wiki/Nik_Collection

    After acquisition, Google relaunched the collection of six applications, [7] with the new Analog Efex, [8] in 2013 [9] as the Google Nik Collection and reduced its price to $150 [10] and then, in 2016, made it completely free to use. [11] [12] In 2017 Google sold [13] the, now seven-application, collection to DxO Labs for an undisclosed amount ...

  7. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    Variables, including classifier-free guidance (CFG) scale, seed, steps, sampler, scheduler, denoise, upscaler, and encoder, are sometimes available for adjustment. Additional influence can be exerted during pre-inference by means of noise manipulation, while traditional post-processing techniques are frequently used post-inference.