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  2. Boolean operations on polygons - Wikipedia

    en.wikipedia.org/wiki/Boolean_operations_on_polygons

    Early algorithms for Boolean operations on polygons were based on the use of bitmaps.Using bitmaps in modeling polygon shapes has many drawbacks. One of the drawbacks is that the memory usage can be very large, since the resolution of polygons is proportional to the number of bits used to represent polygons.

  3. Opening (morphology) - Wikipedia

    en.wikipedia.org/wiki/Opening_(morphology)

    The images below present a simple opening-by-reconstruction example which extracts the vertical strokes from an input text image. Since the original image is converted from grayscale to binary image, it has a few distortions in some characters so that same characters might have different vertical lengths.

  4. Apodization - Wikipedia

    en.wikipedia.org/wiki/Apodization

    In signal processing, apodization (from Greek "removing the foot") is the modification of the shape of a mathematical function. The function may represent an electrical signal, an optical transmission, or a mechanical structure. In optics, it is primarily used to remove Airy disks caused by diffraction around an intensity peak, improving the focus.

  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. Matte (filmmaking) - Wikipedia

    en.wikipedia.org/wiki/Matte_(filmmaking)

    One would mask everything above the store's roof, and the other would mask everything below it. By using these masks/mattes when copying these images onto the third, the images can be combined without creating ghostly double-exposures. In film, this is an example of a static matte, where the shape of the mask does not change from frame to frame ...

  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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