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  2. Median filter - Wikipedia

    en.wikipedia.org/wiki/Median_filter

    Median filtering is one kind of smoothing technique, as is linear Gaussian filtering. All smoothing techniques are effective at removing noise in smooth patches or smooth regions of a signal, but adversely affect edges. Often though, at the same time as reducing the noise in a signal, it is important to preserve the edges.

  3. Comparison gallery of image scaling algorithms - Wikipedia

    en.wikipedia.org/wiki/Comparison_gallery_of...

    The resulting image is larger than the original, and preserves all the original detail, but has (possibly undesirable) jaggedness. The diagonal lines of the "W", for example, now show the "stairway" shape characteristic of nearest-neighbor interpolation. Other scaling methods below are better at preserving smooth contours in the image.

  4. Micro Center - Wikipedia

    en.wikipedia.org/wiki/Micro_Center

    Micro Center is a subsidiary of Micro Electronics, Inc., a privately held corporation headquartered in Hilliard, Ohio. [17]Stores are sized up to 60,000 sq ft (5,600 m 2), stocking about 36,000 products across 700 categories, including major name brands and Micro Center's own brands. [18]

  5. Edge enhancement - Wikipedia

    en.wikipedia.org/wiki/Edge_enhancement

    Edge enhancement is an image processing filter that enhances the edge contrast of an image or video in an attempt to improve its acutance (apparent sharpness).. The filter works by identifying sharp edge boundaries in the image, such as the edge between a subject and a background of a contrasting color, and increasing the image contrast in the area immediately around the edge.

  6. Image editing - Wikipedia

    en.wikipedia.org/wiki/Image_editing

    Image sharpening: original (top), image sharpened (bottom). Another form of image sharpening involves a form of contrast. This is done by finding the average color of the pixels around each pixel in a specified radius, and then contrasting that pixel from that average color. This effect makes the image seem clearer, seemingly adding details.

  7. Graph cuts in computer vision - Wikipedia

    en.wikipedia.org/wiki/Graph_cuts_in_computer_vision

    As applied in the field of computer vision, graph cut optimization can be employed to efficiently solve a wide variety of low-level computer vision problems (early vision [1]), such as image smoothing, the stereo correspondence problem, image segmentation, object co-segmentation, and many other computer vision problems that can be formulated in terms of energy minimization.

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    mail.aol.com

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  9. Texture filtering - Wikipedia

    en.wikipedia.org/wiki/Texture_filtering

    Mipmapping is a standard technique used to save some of the filtering work needed during texture minification. [2] It is also highly beneficial for cache coherency - without it the memory access pattern during sampling from distant textures will exhibit extremely poor locality, adversely affecting performance even if no filtering is performed.