Image Processing Device Color Calibration Feedback Loop
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Solution Overview
Problem
Current image processing systems face challenges in accurately correcting color reproduction characteristics of display devices, leading to color deviations, tone crushing, tone clipping, and color temperature deviations, which are not effectively addressed by existing calibration methods.
Innovation Solution
An image processing device with a color reproduction characteristic acquiring unit, correction unit, feature amount extraction unit, and evaluation image selecting unit that generates a confirmation image by comparing images before and after correction, allowing users to easily verify the calibration results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color reproduction characteristic correction is performed using existing calibration methods, then color accuracy is improved, but color deviations, tone crushing, and color temperature deviations still occur
Solution Approach 1:
The system measures actual color reproduction characteristics using a colorimeter, compares them with target values, and automatically adjusts correction parameters based on the measured deviations. This closed-loop feedback mechanism ensures that color accuracy is continuously improved while preventing the occurrence of color deviations and tone crushing by maintaining reliable color reproduction.
2Measurement precision
If comprehensive color correction is applied to all images, then color accuracy is improved, but processing time and complexity increase
Solution Approach 1:
The system extracts feature amounts that identify specific color characteristics requiring correction (such as color temperature, saturation levels, and tone ranges). Instead of applying uniform correction to all images, the system applies targeted correction only to the specific color features that deviate from standards, significantly reducing processing time while maintaining high color accuracy.
3Measurement precision
If multiple correction parameters are adjusted simultaneously, then overall color quality is improved, but difficulty in detecting and measuring correction effectiveness increases
Solution Approach 1:
The system segments the color correction process into distinct measurable parameters including color temperature, saturation, brightness, and tone distribution. Each parameter is measured and corrected independently using specific feature amounts, allowing easy detection and measurement of correction effectiveness for each individual parameter while achieving comprehensive color quality improvement.
Data Source
AI summary
An image processing device includesa color reproduction characteristic acquiring unit that acquires a color reproduction characteristic of a display device,a color reproduction characteristic correction unit that corrects the color reproduction characteristic,a feature amount extraction unit that extracts a feature amount which is an object of the correction of the color reproduction characteristic acquired by the color reproduction characteristic acquiring unit, andan evaluation image selecting unit that selects, based on the feature amount, an evaluation image which is a source for generating a confirmation image including (i) an image when the color reproduction characteristic acquired by the color reproduction characteristic acquiring unit and before the correction is used and (ii) an image when the color reproduction characteristic after the correction by the color reproduction characteristic correction unit is used.