Image Conversion Simulation System for Inkjet Process Deviation
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Solution Overview
Problem
Current simulators for image conversion devices, such as inkjet printers, fail to accurately replicate the complex processes and variations in the imaging process, resulting in distorted outputs that do not resemble real-life prints, as they only simulate ideal images and do not account for process deviations.
Innovation Solution
A method using software and hardware to simulate the complete process of an image conversion device by treating each picture element individually, transforming and recording them according to the device's operation, allowing for variations and errors, and producing an output image that closely resembles the real output.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If comprehensive simulation of actual imaging process is implemented, then simulation accuracy is improved, but device complexity increases
Solution Approach 1:
The simulation system divides the imaging process into distinct sequential stages: digital processing, electro-mechanical actuation, and physical ink deposition. Each stage is modeled separately with its own set of parameters and transformation rules, allowing comprehensive simulation while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The system transforms the input digital image through multiple parameter transformations at each processing stage. Digital parameters (pixel values) are converted to electro-mechanical parameters (nozzle activation signals), then to physical parameters (ink drop position, size, and color). This parameter transformation approach enables accurate simulation of the complete imaging process by systematically applying appropriate transformations at each stage.
2Measurement precision
If complete process simulation is implemented, then output image accuracy is improved, but processing time increases
Solution Approach 1:
The system performs preliminary characterization of the imaging device parameters and process variations before actual simulation. Device-specific parameters, ink properties, and process variation ranges are pre-measured and stored. During simulation, these pre-characterized parameters are directly applied rather than calculated in real-time, significantly reducing processing time while maintaining accuracy.
Solution Approach 2:
The simulation applies different levels of detail and computational effort to different regions and aspects of the imaging process based on their importance. Critical parameters that significantly affect output quality are simulated with high precision, while less influential parameters use simplified models. This selective approach maintains output image accuracy while reducing overall processing time.
Data Source
AI summary
A method is provided for simulating the function of an image conversion device, comprising steps of reading input image data, recording the physical transformations of the base elements in at least one process step, emulating a predetermined number of processes, recording the final states of the base elements, collecting the base elements states following the last simulation step, transforming said collection into the simulation file and printing or displaying said simulation file. A system for implementing the method is also provided.