2-D Image Correction for Thermal Ghosting in Digital Printers
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Solution Overview
Problem
Conventional lithographic printing systems face challenges in accommodating high-speed variable data printing due to thermal ghosting issues, where heat signatures from previous prints cause image quality artifacts on subsequent prints due to non-uniform imaging member surface temperatures.
Innovation Solution
A method and apparatus for predicting temperature increases on a rotatable imaging member surface, creating a temperature map, aligning digital image information with this map, and modifying gray levels to adjust marking material density, thereby preventing ghosting by rendering corrected images that compensate for temperature differences across the surface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If high-speed variable data printing is implemented using digital offset printing systems, then printing speed and productivity are improved, but thermal ghosting artifacts appear on subsequent prints due to non-uniform imaging member surface temperatures
Solution Approach 1:
The system performs preliminary temperature mapping of the imaging member surface before printing to identify thermal variations. This advance knowledge allows the system to pre-correct image data by adjusting gray levels in areas that will be affected by thermal ghosting, thereby preventing image quality degradation while maintaining high-speed printing capability
Solution Approach 2:
The system dynamically adjusts gray level parameters in the image data based on detected temperature variations across the imaging member surface. By modifying the density marking material in specific regions according to the temperature map, the system compensates for thermal effects and maintains consistent image quality across multiple high-speed prints
2Productivity
If the imaging member surface temperature is allowed to vary during high-speed printing, then printing efficiency is improved, but thermal ghosting causes image quality artifacts on subsequent prints
Solution Approach 1:
The system converts the harmful thermal variations into useful information by mapping the temperature distribution across the imaging member surface. This temperature map is then used to guide gray level adjustments in the image data, transforming the previously harmful thermal ghosting effect into a correctable parameter that actually improves image consistency
Solution Approach 2:
The system implements a feedback mechanism where temperature information from the imaging member surface is continuously monitored and used to adjust subsequent image rendering. The temperature map serves as feedback that informs real-time corrections to the digital image data, ensuring that thermal variations do not degrade image quality
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach effectively mitigates thermal ghosting artifacts by ensuring consistent image quality across multiple prints, maintaining the intended digital image appearance despite temperature variations on the imaging member surface.
Implementation Method 1
An imaging system then evaporates regions of the fountain solution layer in an image area by exposure to a focused radiation source (e.g., a laser light source, high power laser) to form pockets
Implementation Method 2
The inventors have found that when printing, heat signatures (e.g., thermal ghosting) from images printed on previous imaging member surface revolutions may be observed on subsequent revolutions
Data Source
AI summary
An image based correction system compensates for the image quality artifacts induced by thermal ghosting. With thermal ghosting directly tied to previous image content, a feed forward control system predicts the thermal ghosting artifact based on the images previous printed and generates an open loop, 2-D correction to the gray-level image that mitigates the undesirable ghosting artifacts. For example, the correction system compensates for the thermal ghosting by making the current digital image “lighter” in areas that will be imaged onto warmer blanket regions, thereby cancelling out TRC differences between different temperature regions.


