Color Measurement Chart Analysis for Image Noise Exclusion
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Solution Overview
Problem
Conventional image forming systems fail to accurately detect image noise in color measurement charts, leading to erroneous colorimetry results due to density unevenness, streaks, and stains, which affect color reproducibility.
Innovation Solution
An image forming system with an imaging unit and analyzer to capture and analyze images for abnormalities, ensuring only noise-free color measurement results are used for color adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If color measurement is performed on all color patches in the color measurement chart, then the quantity of color measurement data is increased, but measurement precision deteriorates due to image noise affecting multiple patches
Solution Approach 1:
The color measurement chart is divided into multiple color patches, and each patch is independently evaluated for image noise. The analyzer segments the measurement process by identifying which specific patches are affected by noise and excluding only those patches from colorimetry, rather than discarding the entire measurement chart. This allows valid patches to contribute to color measurement while invalid patches are filtered out.
Solution Approach 2:
An imaging unit and analyzer are introduced as intermediary components between the color measurement chart and the colorimetry process. The imaging unit captures the entire chart including all color patches, and the analyzer processes this image to detect image noise and identify affected patches. This intermediary analysis enables selective exclusion of noisy patches while preserving valid measurement data.
2Device complexity
If conventional colorimetry method is used without image analysis, then the device complexity is reduced, but reliability of color measurement deteriorates due to undetected image noise
Solution Approach 1:
The imaging unit serves multiple functions: it captures the color measurement chart for analysis, detects image noise across the entire chart, and provides spatial information about affected areas. This multi-functional approach integrates image capture and noise detection into a single component, reducing overall system complexity while improving measurement reliability through comprehensive noise detection.
Solution Approach 2:
The analyzer provides feedback information about which color patches are affected by image noise. This feedback mechanism allows the color measurement system to automatically adjust by excluding problematic patches from colorimetry. The feedback loop ensures that only reliable measurement data is used, improving overall measurement reliability without requiring complex manual intervention.
Data Source
AI summary
An image forming system includes an image forming section that prints an image on a recording medium and outputs the recording medium, a color measurement section that measures color of the image printed by the image forming section, an imaging unit that captures the image printed by the image forming section, and an analyzer that analyzes, based on the image captured by the imaging unit, whether or not the image subjected to color measurement by the color measurement section has an abnormality. When the analyzer determines that the image has an abnormality, the color measurement section does not output a color measurement result of the image having the abnormality.