Image Reading Apparatus White Reference Data Correction
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Solution Overview
Problem
Existing image reading apparatuses face challenges in acquiring accurate white reference data due to variations in light source sensitivity and light receiving element uniformity, particularly when abnormal data is present, which affects print density consistency.
Innovation Solution
The image reading apparatus employs a control circuit to irradiate a white reference member with multiple colors of light, a processing circuit to identify and exclude abnormal data across different color channels, and a memory circuit to store and process white reference data, ensuring accurate averaging and reduction of print density variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If averaging process is performed on plurality of white reference data, then influence of variation in print density is reduced, but abnormal data still affects the accuracy of white reference data
Solution Approach 1:
The processing circuit performs feedback by comparing white reference data from different light receiving elements and identifying abnormal values. The system uses the collected data to detect anomalies and excludes them from the final averaging calculation, improving the accuracy of white reference data acquisition.
Solution Approach 2:
The processing circuit extracts and excludes abnormal data from the set of white reference data before performing the averaging process. By removing outliers and abnormal values from the calculation, the system ensures that only valid data contributes to the final white reference data, thereby improving measurement precision.
2Quantity of substance
If multiple light receiving elements are used to read white reference member, then coverage and data quantity increase, but variation in sensitivity among elements causes data inconsistency
Solution Approach 1:
The system uses feedback mechanisms to monitor and compare data from multiple light receiving elements. By continuously comparing the output of different elements and identifying deviations from the norm, the system can detect and exclude abnormal readings, ensuring consistency across multiple data sources.
Solution Approach 2:
The processing circuit changes the evaluation parameters by comparing relative values and identifying abnormal data based on statistical deviations. This allows the system to handle variations in sensitivity among different light receiving elements while maintaining data consistency through intelligent parameter selection and comparison.
3Productivity
If simple averaging is performed without abnormal data detection, then processing speed is maintained, but accuracy of white reference data deteriorates
Solution Approach 1:
The processing circuit performs preliminary detection and identification of abnormal data before the final averaging calculation. By pre-identifying and flagging abnormal values, the system can efficiently exclude them during the averaging process without requiring complex real-time analysis, thus maintaining processing speed while improving accuracy.
Solution Approach 2:
The system implements a feedback-based abnormal data detection mechanism that operates in parallel with the data collection process. This allows the system to identify abnormal values quickly and exclude them from the averaging calculation, maintaining high processing speed while ensuring data accuracy.
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 enables the acquisition of reliable white reference data by identifying and excluding abnormal data, leading to improved image reading accuracy and reduced influence from print density variations, thus enhancing the quality of image formation processes.
Implementation Method 1
The light source irradiates a white reference member 6 with lights of a plurality of colors and the light receiving unit 5 receives the reflected lights
Data Source
AI summary
An image reading apparatus includes a reading circuit, a white reference member, a control circuit, a memory circuit, and a processing circuit. The control circuit controls the reading circuit to: cause a light source to irradiate the white reference member with lights of a plurality of colors and cause a light receiving unit to receive the reflected lights. The processing circuit performs a process to identify abnormal data included in white reference data stored in the memory circuit. The processing circuit identifies information on the abnormal data in a light of an abnormal-data detected color among the plurality of colors. The processing circuit identifies the abnormal data in lights of other colors excluding the abnormal-data detected color among the plurality of colors based on the information on the abnormal data. The information is identified for the light of the abnormal-data detected color.