Image Processing Device Shading Correction via Trial Comparison
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Solution Overview
Problem
Traditional methods for shading correction in image processing, which rely on color temperature and chromaticity coordinates, fail to accurately distinguish between light sources with similar characteristics, leading to inadequate shading correction.
Innovation Solution
An image processing device and method that performs trial shading correction on image data using stored correction information associated with multiple light-source types, selecting the most suitable correction information based on comparison of results to achieve accurate shading correction without relying on color temperature or chromaticity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional shading correction methods using color temperature and chromaticity coordinates are employed, then the correction process is simple, but the accuracy of shading correction deteriorates when light sources have similar color temperatures and chromaticity coordinates but different spectral characteristics
Solution Approach 1:
The invention segments the correction process into multiple trial corrections, each corresponding to different light-source types. Instead of using a single correction characteristic, the system divides the correction into multiple discrete attempts with different correction characteristics stored in advance, allowing selection of the most appropriate one for each specific lighting condition.
Solution Approach 2:
The invention changes the parameters used for shading correction from traditional color temperature and chromaticity coordinates to multiple different correction characteristics corresponding to different light-source types. By storing and comparing multiple correction characteristics (such as different correction coefficients or correction curves), the system can select the parameter set that best matches the actual lighting conditions.
2Measurement precision
If multiple trial corrections with different light-source types are performed, then the accuracy of shading correction improves, but the processing time and computational complexity increase
Solution Approach 1:
The invention performs preliminary actions by storing multiple different correction characteristics corresponding to different light-source types in advance. These correction characteristics (such as correction coefficients or correction curves for various light sources like incandescent, fluorescent, LED) are pre-computed and stored in memory, so that during actual image processing, the system only needs to retrieve and apply the appropriate pre-prepared correction data rather than computing it in real-time.
Solution Approach 2:
The system performs self-service by automatically evaluating multiple trial corrections and selecting the most appropriate one without requiring manual intervention. The image processing device autonomously compares the results of multiple trial corrections and chooses the correction characteristic that produces the best result, eliminating the need for user input while maintaining high accuracy.
3Adaptability or versatility
If correction information is stored for multiple light-source types, then the adaptability to different lighting conditions improves, but the storage requirements and data management complexity increase
Solution Approach 1:
The invention extracts only the essential correction information needed for shading correction from complex spectral data. Instead of storing complete spectral characteristics or large amounts of raw data for each light-source type, the system extracts and stores only the critical correction characteristics (such as correction coefficients or correction curves) that are sufficient for effective shading correction, significantly reducing storage requirements.
Data Source
AI summary
An imaging device is provided with the following: a trial shading-correction unit that performs trial shading correction on image data for each of a plurality of types of light source on the basis of correction information stored in a correction-information storage unit for each light-source type; a correction-information selection unit (whereby the results of the shading correction performed by the trial shading-correction unit for each light-source type are compared to each other and correction information corresponding to an appropriate shading-correction result is selected from among the correction information stored by the correction-information storage unit per light-source type; and a shading correction unit that performs color-shading correction on the image data on the basis of the correction information selected by the correction-information selection unit.