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  2. Coded exposure photography - Wikipedia

    en.wikipedia.org/wiki/Coded_Exposure_Photography

    When motion blur happens, the resulting image is blurry, fuzzy edges and indistinct features. One solution to remove motion blur in photography is to increase the shutter speed of the camera. Unlike the coded exposure process, shutter speed is a purely physical process where the camera shutter is opened and closed more quickly, resulting in ...

  3. Image restoration by artificial intelligence - Wikipedia

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

    Image restoration can be broadly categorized into two main types: spatial domain and frequency domain methods. Spatial domain techniques operate directly on the image pixels, while frequency domain methods transform the image into the frequency domain using techniques such as the Fourier transform, where restoration operations are performed.

  4. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    Specifically, unsharp masking is a simple linear image operation—a convolution by a kernel that is the Dirac delta minus a gaussian blur kernel. Deconvolution, on the other hand, is generally considered an ill-posed inverse problem that is best solved by nonlinear approaches.

  5. List of satellite map images with missing or unclear data

    en.wikipedia.org/wiki/List_of_satellite_map...

    Some locations on free, publicly viewable satellite map services have such issues due to having been intentionally digitally obscured or blurred for various reasons of this. [1] For example, Westchester County, New York asked Google to blur potential terrorism targets (such as an amusement park, a beach, and parking lots) from its satellite ...

  6. Kernel (image processing) - Wikipedia

    en.wikipedia.org/wiki/Kernel_(image_processing)

    In image processing, a kernel, convolution matrix, or mask is a small matrix used for blurring, sharpening, embossing, edge detection, and more.This is accomplished by doing a convolution between the kernel and an image.

  7. Gaussian blur - Wikipedia

    en.wikipedia.org/wiki/Gaussian_blur

    The difference between a small and large Gaussian blur. In image processing, a Gaussian blur (also known as Gaussian smoothing) is the result of blurring an image by a Gaussian function (named after mathematician and scientist Carl Friedrich Gauss). It is a widely used effect in graphics software, typically to reduce image noise and reduce detail.

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