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  2. 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 ...

  3. Soft focus - Wikipedia

    en.wikipedia.org/wiki/Soft_focus

    In photography, soft focus is a lens flaw, in which the lens forms images that are blurred due to uncorrected spherical aberration.A soft focus lens deliberately introduces spherical aberration which blurs fine texture in the image while retaining sharp edges across areas of high contrast; it is not the same as an out-of-focus image, and the effect cannot be achieved simply by defocusing a ...

  4. Image stabilization - Wikipedia

    en.wikipedia.org/wiki/Image_stabilization

    Image stabilization (IS) is a family of techniques that reduce blurring associated with the motion of a camera or other imaging device during exposure.. Generally, it compensates for pan and tilt (angular movement, equivalent to yaw and pitch) of the imaging device, though electronic image stabilization can also compensate for rotation about the optical axis (). [1]

  5. Display motion blur - Wikipedia

    en.wikipedia.org/wiki/Display_motion_blur

    Blur from eye tracking fast-moving objects on sample-and-hold LCD, plasma, or microdisplay. [1] [2] Resolution resampling (blur due to resizing image to fit the native resolution of the HDTV); not a motion blur. Deinterlacing by the display, and telecine processing by studios. These processes can soften images, and/or introduce motion-speed ...

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  7. 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.

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