User's Manual

Stochastic Screens: Stochastic screening uses randomly placed dots instead of the
traditional halftone dots aligned along designated screen angles. The concept of
stochastic screening is that dots placed randomly do not cause moire patterns.
However, completely random positioning does not work well. The stochastic screen
prevents screening interference patterns, but it can cause graininess and other visual
artifacts. Therefore, stochastic screening as implemented by your printer uses a
complex algorithm to determine the optimum placement of dots in order to appear
random while reducing graininess. This random arrangement of dots means there is
no direction to the screen; and therefore no screen angle exists. The variable spacing
of the dots means there is no fixed spacing, and therefore there is no screen frequency.
So, without frequency or angle, there is no possibility of moire among the four
process-color screens, or even of moire from patterns within an image.
About RGB to Black for Text and Graphics
Select one of the following:
Off
Black Uses K Only
Black and Gray Use K Only
About Image Interpolation
Image interpolation, or image resample, attempts to produce a smooth transition
between adjacent samples rather than simply replicating pixels which would result in
blocky images.
The FreeFlow
®
Print Server enables you to select an interpolation method in order to
achieve maximum image quality at the desired RIP performance. Image interpolation
is the process of estimating the value of the output image based on the known values
of the input images.
The several interpolation methods available that are used to scale image data, or pixels,
from one resolution to another are described below:
System Specified: Use this default method if you are unsure of which other method
to use.
Nearest Neighbor: The output pixel value is simply the value of the input pixel closest
to the output location. Nearest neighbor interpolation is the quickest interpolation
method.
Bi-Linear: The replacement pixel in the scaled image is calculated using a weighted
sum of the four nearest pixel values in the source image. The Bi-Linear method offers
better quality results than Nearest Neighbor interpolation.
Filtered: This method uses an anti-aliasing filter to construct a smooth analog signal
from a digital input.
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