Inkjet Density Correction via Noise Filtering
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Solution Overview
Problem
Existing image processing techniques for inkjet printers face challenges in accurately obtaining density characteristics of printing elements, leading to density unevenness and streaks due to variations in ink discharge, particularly in high-density regions where scanner noise is significant.
Innovation Solution
An image processing apparatus that corrects measured values obtained from measurement images by filtering based on the density of the measurement image, using a first obtaining unit to measure and a first correction unit to adjust the values, thereby reducing noise and improving the accuracy of density characteristics for each printing element.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a scanner is used to measure the measurement image, then the density characteristics of each printing element can be obtained, but noise occurs in the high-density region leading to deterioration in measurement accuracy
Solution Approach 1:
The patent applies parameter changes by performing density-based correction on the measured values. The correction unit changes the parameter of measured value accuracy by applying different correction amounts based on the density of each pixel, thereby reducing scanner noise effects in high-density regions while preserving measurement accuracy across all density ranges.
Solution Approach 2:
The patent introduces an intermediary correction process between the raw scanner measurement and the final density characteristics. The correction unit acts as an intermediary that processes the measured values by calculating correction amounts based on density, thereby mediating between the noisy raw measurements and the accurate final density characteristics.
2Measurement precision
If filtering is performed on measured values to reduce noise, then measurement accuracy improves, but the complexity of the image processing increases
Solution Approach 1:
Instead of applying complex filtering operations, the patent changes the parameter approach by using density-based correction. This method achieves noise reduction by simply calculating correction amounts based on pixel density values, which is computationally simpler than traditional filtering techniques while maintaining measurement accuracy.
Solution Approach 2:
The patent extracts only the essential correction information needed for noise reduction by calculating correction amounts based on density alone, rather than applying comprehensive filtering operations. This extraction approach reduces processing complexity by focusing only on the critical density parameter for correction.
Data Source
AI summary
An image processing apparatus corrects a measured value obtained by measuring a measurement image formed using a printing element configured to discharge ink, the measured value being used to identify a density characteristic of the printing element. The image processing apparatus obtains a measured value; and corrects the measured value based on a density of the measurement image.