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  2. Deblurring - Wikipedia

    en.wikipedia.org/wiki/Deblurring

    Deblurring an image using Wiener deconvolution. Deblurring is the process of removing blurring artifacts from images. Deblurring recovers a sharp image S from a blurred image B, where S is convolved with K (the blur kernel) to generate B. Mathematically, this can be represented as = (where * represents convolution).

  3. How to use Photo Unblur on the Google Pixel 7 - AOL

    www.aol.com/photo-unblur-google-pixel-7...

    Thanks to the Tensor G2 chipset in the Pixel 7 and Pixel 7 Pro, your blurry photos can now be fixed in Google Photos. Here's how to use the Photo Unblur feature.

  4. Lil Uzi Vert vs. the World 2 - Wikipedia

    en.wikipedia.org/wiki/Lil_Uzi_Vert_vs._the_World_2

    Lil Uzi Vert vs. the World 2 [b] is a reissue studio album by American rapper and singer Lil Uzi Vert. [2] It was released through Generation Now and Atlantic Records on March 13, 2020. [ 3 ] The album was released as the deluxe edition of their second studio album Eternal Atake , which was released a week before, on March 6, 2020.

  5. Image restoration by artificial intelligence - Wikipedia

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

    Image processing techniques are performed either in the image domain or the frequency domain. 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 ...

  6. Difference of Gaussians - Wikipedia

    en.wikipedia.org/wiki/Difference_of_Gaussians

    When utilized for image enhancement, the difference of Gaussians algorithm is typically applied when the size ratio of kernel (2) to kernel (1) is 4:1 or 5:1. In the example images, the sizes of the Gaussian kernels employed to smooth the sample image were 10 pixels and 5 pixels.

  7. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.