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  2. 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.

  3. Otsu's method - Wikipedia

    en.wikipedia.org/wiki/Otsu's_method

    One limitation of the Otsu’s method is that it cannot segment weak objects as the method searches for a single threshold to separate an image into two classes, namely, foreground and background, in one shot. Because the Otsu’s method looks to segment an image with one threshold, it tends to bias toward the class with the large variance. [14]

  4. OpenCV - Wikipedia

    en.wikipedia.org/wiki/OpenCV

    OpenCV (Open Source Computer Vision Library) is a library of programming functions mainly for real-time computer vision. [2] Originally developed by Intel, it was later supported by Willow Garage, then Itseez (which was later acquired by Intel [3]).

  5. Blend modes - Wikipedia

    en.wikipedia.org/wiki/Blend_modes

    Dodging lightens an image, while burning darkens it. Dodging the image is the same as burning its negative (and vice versa). Dodge modes: The Screen blend mode inverts both layers, multiplies them, and then inverts that result. The Color Dodge blend mode divides the bottom layer by the inverted top layer. This lightens the bottom layer ...

  6. Nik Collection - Wikipedia

    en.wikipedia.org/wiki/Nik_Collection

    Nik Sharpener and Nik Color Efex were developed by Nik Multimedia Inc. [1] in the 1990s as digital photo filters that could be used in Photoshop or as standalone applications. Some years later, in 2003, Dfine 1.0 , a denoising application and plugin was added to the list of products on offer.

  7. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    The improvement to image quality is often attractive, since the same validation issues are present even for un-enhanced images. For deconvolution to be effective, all variables in the image scene and capturing device need to be modeled, including aperture , focal length , distance to subject, lens, and media refractive indices and geometries.

  8. Adaptive histogram equalization - Wikipedia

    en.wikipedia.org/wiki/Adaptive_histogram...

    Adaptive histogram equalization (AHE) is a computer image processing technique used to improve contrast in images. It differs from ordinary histogram equalization in the respect that the adaptive method computes several histograms, each corresponding to a distinct section of the image, and uses them to redistribute the lightness values of the image.

  9. Median filter - Wikipedia

    en.wikipedia.org/wiki/Median_filter

    Implementation of two-dimensional median filter in constant time (GPL license) – the running time per pixel of this algorithm is proportional to the number of elements in a histogram (typically this is , where n is the number of bits per channel), even though this in turn is a constant.

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