  Graininess noise is a common artifact in inkjet printing. While current
inkjet printing technologies attempt to control graininess in single color
images, the results are often less than optimal for multi-color images. This is
due to fluidic interactions between inks of different colors. This paper will
describe a color decomposition methodology that can be used to study ink flow
patterns in multi-color inkjet printed images at a microscopic scale. This
technique is used to decompose multi-color images into several independent
color components. The ink patterns in these components is analyzed to relate
them to visually perceptible graininess noise.
