Ink Flow Patterns In Multi Color Inkjet Images And Their Impact On Graininess Noise

TL;DR

This paper introduces a color decomposition method to analyze ink flow patterns in multi-color inkjet images, linking microscopic ink interactions to perceptible graininess noise, aiming to improve print quality.

Contribution

It presents a novel color decomposition technique for studying ink flow patterns in multi-color inkjet printing at a microscopic level, addressing graininess noise issues.

Findings

Identifies fluidic interactions causing graininess in multi-color prints.

Links microscopic ink flow patterns to perceptible graininess noise.

Provides a methodology for analyzing multi-color inkjet images at a detailed scale.

Abstract

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.