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Computing Local Space Average Color on a Grid of Processing Elements

2 Computing Local Space Average Color on a Grid of Processing Elements [Pg.221]

Each element has access to the color stored at position (x, y). We assume that we have three different color bands and that the color at position (x, y) is [Pg.223]

The computations are performed for all three color bands independently. Let the current [Pg.223]

We can initialize a, with i e r, g, b] with an arbitrary value. The following updates are then iterated indefinitely for all three color bands  [Pg.223]

This percentage depends on the size of the image. For our experiments, we usually set this value to p = 0.0005 for images of size 256 x 256. In the subsequent text, we discuss how this value may be chosen. The first step averages the data obtained from neighboring elements. The second step fades the color c at position (x, y) into the current average a. This can be viewed as a biased average, e.g. [Pg.223]




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A-space

Color spaces

Colorants processing

Computational grids

Computational space

Computer processing

Computing processing

Grid computing

Grid of processing elements

Local Processes

Processing element

Space elements

Space processes

Space processing

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