Color Conversion Accuracy Evaluation in Image Processing
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Solution Overview
Problem
Users face challenges in capturing and viewing digital images due to varying lighting conditions and device characteristics, leading to inconsistent color adjustments and decreased accuracy in color conversion models.
Innovation Solution
An image processing apparatus that receives pairs of image information before and after color conversion, calculates and displays the accuracy of color conversion characteristics, allowing for evaluation and improvement of color conversion models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color conversion is performed to adjust hues in digital images, then the intended color accuracy is improved, but the consistency of color conversion across varying lighting conditions and devices deteriorates
Solution Approach 1:
The system displays accuracy information about color conversion characteristics to users, enabling them to evaluate the quality of color conversion. This feedback mechanism allows users to understand the reliability of color conversion across different conditions and make informed decisions about image processing parameters.
Solution Approach 2:
The system evaluates color conversion accuracy by analyzing multiple pairs of image information before and after color conversion, then displays this accuracy information to users. This approach changes the parameter being monitored from just the visual result to include quantitative accuracy metrics, allowing assessment of consistency across varying conditions.
2Reliability
If multiple pairs of image information are used to evaluate color conversion accuracy, then the reliability of color conversion model is improved, but the complexity of the evaluation process increases
Solution Approach 1:
The system automatically performs the evaluation of color conversion accuracy using multiple pairs of image information and displays the results to users. This self-service approach eliminates the need for manual evaluation by users, reducing the complexity burden on the user side while maintaining high reliability through automated multi-pair analysis.
3Loss of information
If color conversion accuracy is displayed for color areas, then the information completeness for evaluation is improved, but the complexity of information presentation increases
Solution Approach 1:
The system displays color conversion accuracy information specifically for color areas where color conversion is actually performed, rather than providing uniform information across all image areas. This local quality approach presents information only where it is relevant and useful for evaluation, reducing unnecessary information complexity while maintaining completeness for the critical color regions.
Data Source
AI summary
An image processing apparatus includes a reception unit that receives a pair of image information including image information before color conversion and image information after the color conversion, an accuracy output unit that outputs accuracy of a color conversion characteristic from a plural of pairs of image information received by the reception unit, and a display control unit that displays the accuracy output from the accuracy output unit on a display apparatus for color areas.