Image Reading Apparatus with Multi-Spectral Detection for Wrinkle Correction
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Solution Overview
Problem
Image reading apparatuses face challenges in accurately reading images due to irregularities caused by paper wrinkles, which affect the spectral characteristics of light reflected from the image, leading to inconsistencies in color component detection.
Innovation Solution
The apparatus employs multiple detection units with different spectral characteristics to read a test image, compares the output characteristics with stored values, and adjusts operations based on detected irregularities, including aborting the reading process or applying correction values to minimize the impact of paper wrinkles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single detection unit is used for image reading, then the device complexity is low, but the measurement precision of color components deteriorates due to inability to detect spectral characteristics variations caused by paper wrinkles
Solution Approach 1:
The detection unit is divided into multiple detection units, each having different spectral characteristics. This segmentation allows the system to detect spectral variations caused by paper wrinkles by comparing outputs from multiple detection units with different spectral responses to the same reflected light.
Solution Approach 2:
The system changes the spectral parameter of the detection units by using multiple detection units with different spectral characteristics. This allows the system to detect and differentiate spectral variations caused by paper wrinkles from the actual image color information.
2Measurement precision
If multiple detection units with different spectral characteristics are used, then the measurement precision of color components improves, but the device complexity increases
Solution Approach 1:
Multiple detection units with different spectral characteristics are used to perform multiple functions: detecting both the actual image color information and the spectral variations caused by paper wrinkles. This multi-functionality allows a single detection system to handle both image reading and irregularity detection.
Solution Approach 2:
The system uses feedback by comparing the output characteristics of multiple detection units with stored reference values to detect paper wrinkles. The detection result is fed back to identify irregularities, and correction values are applied based on this feedback to improve reading accuracy.
3Productivity
If paper wrinkles are present on the image carrier, then the reading operation can proceed, but the measurement precision deteriorates due to spectral characteristic variations affecting color component detection
Solution Approach 1:
The system performs preliminary detection of paper wrinkles by comparing the output characteristics of multiple detection units with stored reference values before the main reading operation. This preliminary action allows the system to identify and correct for spectral variations caused by paper wrinkles, ensuring accurate color component detection.
Solution Approach 2:
The system converts the harmful effect of paper wrinkles into a detectable signal by using multiple detection units with different spectral characteristics. The spectral variations caused by paper wrinkles are transformed into useful information for detecting and correcting reading errors, improving overall reading accuracy.
4Measurement precision
If correction values are applied to compensate for paper wrinkles, then the measurement precision improves, but the device complexity increases due to additional processing requirements
Solution Approach 1:
The system performs self-correction by automatically detecting paper wrinkles and applying correction values to the reading data. The detection units and processing system work together to identify irregularities and compensate for their effects, enabling the system to correct its own measurement errors without external intervention.
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 accurate image reading by detecting and correcting for paper wrinkles, ensuring consistent output characteristics and reducing the adverse effects of irregularities on image quality.
Implementation Method 1
irregularities caused by paper wrinkles, which affect the spectral characteristics of light reflected from the image
Data Source
AI summary
An image reading apparatus includes an image reading section and a detection section. The image reading section includes at least two detection units, and performs a reading operation on an image. The at least two detection units have respective spectral characteristics which are different from each other. The detection section detects a condition of an irregularity on an image carrier by comparing a detection result of the image read by the image reading section with an output characteristic. The output characteristic is stored in advance and is a color component obtained from a value obtained by the image reading section reading a test image having a region in at least one color.