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  2. Visual masking - Wikipedia

    en.wikipedia.org/wiki/Visual_masking

    Visual masking involves surrounding a target image (here, the word "radio") with another image. Visual masking is a phenomenon of visual perception. It occurs when the visibility of one image, called a target, is reduced by the presence of another image, called a mask. [1] The target might be invisible or appear to have reduced contrast or ...

  3. Robinson compass mask - Wikipedia

    en.wikipedia.org/wiki/Robinson_Compass_Mask

    In image processing, a Robinson compass mask is a type of compass mask used for edge detection. It has eight major compass orientations, [ 1 ] each will extract the edges in respect to its direction. A combined use of compass masks of different directions could detect the edges from different angles.

  4. Aperture masking interferometry - Wikipedia

    en.wikipedia.org/wiki/Aperture_masking_interfe...

    The masks are usually categorised either as non-redundant or partially redundant. Non-redundant masks consist of arrays of small holes where no two pairs of holes have the same separation vector (the same baseline – see aperture synthesis). Each pair of holes provides a set of fringes at a unique spatial frequency in the image plane.

  5. 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 .

  6. Unsharp masking - Wikipedia

    en.wikipedia.org/wiki/Unsharp_masking

    For image processing, deconvolution is the process of approximately inverting the process that caused an image to be blurred. Specifically, unsharp masking is a simple linear image operation—a convolution by a kernel that is the Dirac delta minus a gaussian blur kernel.

  7. Cryptomatte - Wikipedia

    en.wikipedia.org/wiki/Cryptomatte

    The program itself creates an ID matte of a scene that can be used to create for example image masks for single or multiple objects in the scene. The ID matte has a very distinctive look and itself is sometimes referred to as cryptomatte. These cryptomatte images are in general very colourful assigning each object or material a different random ...

  8. Image derivative - Wikipedia

    en.wikipedia.org/wiki/Image_derivative

    Image derivatives can be computed by using small convolution filters of size 2 × 2 or 3 × 3, such as the Laplacian, Sobel, Roberts and Prewitt operators. [1] However, a larger mask will generally give a better approximation of the derivative and examples of such filters are Gaussian derivatives [ 2 ] and Gabor filters . [ 3 ]

  9. Bahtinov mask - Wikipedia

    en.wikipedia.org/wiki/Bahtinov_mask

    The Bahtinov mask is a device used to focus small astronomical telescopes accurately. Although masks have long been used as focusing aids, the distinctive pattern was invented by Russian amateur astrophotographer Pavel Bahtinov ( Russian : Павел Бахтинов ) in 2005.