Dummy Pixel Implantation for Digital Printing Distortion Correction
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Solution Overview
Problem
Digital printing systems face challenges in correcting geometric distortions such as wave distortions, tilt, skew, and color registration issues, leading to suboptimal image quality and increased waste due to misalignment and varying ink widths.
Innovation Solution
A method and system that estimate geometric distortions in printed images by calculating pixel locations for implanting dummy pixels to correct distortions, using a processor to shift and align color images, and adjust ink droplet sizes to compensate for distortions, thereby improving image registration and alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional printing methods are used, then printing speed is maintained, but geometric distortions such as wave distortions, tilt, and skew occur
Solution Approach 1:
The system performs preliminary actions by estimating geometric distortions from printed test patterns and pre-calculating correction parameters before actual image printing. The processor determines distortion characteristics and computes correction data in advance, which is then applied to the digital image to be printed, eliminating the need for complex real-time distortion correction during printing.
Solution Approach 2:
The patent introduces an intermediary approach by using dummy pixels as mediators between the distorted printed image and the correction system. These dummy pixels are implanted in calculated locations to compensate for distortions, serving as reference points that enable the system to correct geometric distortions without requiring direct measurement of the entire printed image.
2Manufacturing precision
If distortion correction is applied to each printed image, then image quality improves, but processing time increases
Solution Approach 1:
The system performs distortion estimation and correction parameter calculation as preliminary actions using printed test patterns or reference images. Once the distortion characteristics are determined and correction data is pre-computed, the actual image printing can proceed with efficient application of corrections, reducing processing time during the main printing operation.
Solution Approach 2:
The system employs self-service mechanisms where the printed test pattern itself provides the reference information needed for distortion correction. The processor uses the printed image to estimate distortions and generate correction parameters, allowing the system to correct its own distortions using the printed reference data without requiring external measurement equipment.
3Manufacturing precision
If dummy pixels are implanted to correct distortion, then geometric accuracy improves, but ink usage increases
Solution Approach 1:
The system applies local quality by implanting dummy pixels only at specific calculated locations where distortion compensation is needed, rather than uniformly across the entire image. The processor determines precise pixel locations based on distortion estimation, and dummy pixels are implanted only at these critical positions to correct geometric distortions while minimizing additional ink consumption.
Data Source
AI summary
A method for correcting distortion in image printing, the method includes receiving a digital image (200, 306, 376, 500, 600, 700, 810) acquired from a printed image. Based on the digital image (200, 306, 376, 500, 600, 700, 810), a geometric distortion in the printed image is estimated. One or more pixel locations (228, 504, 506, 514, 610, 620, 630, 640, 712, 716, 722, 724) are calculated, such that, when one or more dummy pixels (232, 234) are implanted therein, compensate for the estimated geometric distortion. The geometric distortion is corrected in a subsequent digital image to be printed, by implanting the one or more dummy pixels (232, 234) at the one or more calculated pixel locations (228, 504, 506, 514, 610, 620, 630, 640, 712, 716, 722, 724) in the subsequent digital image. The subsequent digital image having the corrected geometric distortion is printed.