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  2. Plotting algorithms for the Mandelbrot set - Wikipedia

    en.wikipedia.org/wiki/Plotting_algorithms_for...

    The simplest algorithm for generating a representation of the Mandelbrot set is known as the "escape time" algorithm. A repeating calculation is performed for each x, y point in the plot area and based on the behavior of that calculation, a color is chosen for that pixel.

  3. Java BluePrints - Wikipedia

    en.wikipedia.org/wiki/Java_BluePrints

    Nick Kassem is the author of the original book. The idea of Java Pet Store came from Connie Weiss and Greg Murray who were both animal lovers. After the first year, Nick Kassem left the team and Inderjeet Singh became lead architect. The Java BluePrints team was led by Larry Freeman from J2EE 1.2 in 2000 up until Java EE 5 in 2006. [1]

  4. Ordered dithering - Wikipedia

    en.wikipedia.org/wiki/Ordered_dithering

    Equivalently, the size of the map selected should be equal to or larger than the ratio of source colors to target colors. For example, when quantizing a 24 bpp image to 15 bpp (256 colors per channel to 32 colors per channel), the smallest map one would choose would be 4×2, for the ratio of 8 (256:32).

  5. Graph coloring - Wikipedia

    en.wikipedia.org/wiki/Graph_coloring

    With four colors, it can be colored in 24 + 4 × 12 = 72 ways: using all four colors, there are 4! = 24 valid colorings (every assignment of four colors to any 4-vertex graph is a proper coloring); and for every choice of three of the four colors, there are 12 valid 3-colorings. So, for the graph in the example, a table of the number of valid ...

  6. Java code coverage tools - Wikipedia

    en.wikipedia.org/wiki/Java_Code_Coverage_Tools

    The runtime overhead of added instrumentation is small (5–20%) and the bytecode instrumentor itself is very fast (mostly limited by file I/O speed). Memory overhead is a few hundred bytes per Java class. EMMA is 100% pure Java, has no external library dependencies, and works in any Java 2 JVM (even 1.2.x).

  7. Color normalization - Wikipedia

    en.wikipedia.org/wiki/Color_normalization

    Color normalization is a topic in computer vision concerned with artificial color vision and object recognition. In general, the distribution of color values in an image depends on the illumination, which may vary depending on lighting conditions, cameras, and other factors.

  8. Metamerism (color) - Wikipedia

    en.wikipedia.org/wiki/Metamerism_(color)

    The salient difference between CRI and MI is the color space used to calculate the color difference, the one used in CRI being obsolete and not perceptually uniform. MI can be decomposed into MI vis and MI UV if only part of the spectrum is being considered. The numerical result can be interpreted by rounding into one of five letter categories: [6]

  9. Object Modeling in Color - Wikipedia

    en.wikipedia.org/wiki/Object_Modeling_in_Color

    UML color standards are a set of four colors associated with Unified Modeling Language (UML) diagrams. The coloring system indicates which of several archetypes apply to the UML object. UML typically identifies a stereotype with a bracketed comment for each object identifying whether it is a class, interface, etc.