Multi-Projection Image Adjustment for Faster Color Shade Correction
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Solution Overview
Problem
Existing methods for correcting color shades in multi-projection systems require repeated imaging of single-color raster images, leading to increased adjustment time and reduced user convenience.
Innovation Solution
A method and system that adjust displayed images by projecting unit images with specific gradation values in defined areas, capturing these images, and calculating correction values based on the captured images to correct gradation differences, thereby optimizing the adjustment process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If repeated imaging of single-color raster images with brightness variations is performed, then color shade correction accuracy is improved, but adjustment time increases and user convenience decreases
Solution Approach 1:
The patent combines multiple imaging operations into a single image capture. Instead of separately imaging single-color raster images with different brightness levels, the system displays a composite image containing multiple unit images with different gradation values and captures them all in one operation. This merging approach maintains comprehensive correction data while dramatically reducing the number of imaging operations required.
Solution Approach 2:
The single captured image serves multiple functions simultaneously. It provides correction data for different gradation values (first, second, and third gradation values), enables calculation of correction values for multiple unit images, and allows determination of color shade relationships across different brightness levels. This multi-functional use of a single image replaces what would traditionally require multiple separate imaging operations.
2Measurement precision
If multiple unit images with different gradation values are displayed in specific arrangements, then correction value calculation accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the correction process into distinct calculation steps based on spatial relationships between unit images. The system calculates correction values for different unit images (first, second, third unit images) separately based on their specific spatial arrangements and gradation values, then combines these results. This segmentation allows complex corrections to be performed through systematic, manageable steps rather than a monolithic complex algorithm.
Data Source
AI summary
An adjustment method includes acquiring a first captured image obtained by imaging of a range containing a first whole image and a target image, acquiring a fourth gradation value obtained by correction of a gradation value of a fourth unit image based on a gradation value of a first unit image and a gradation value of a second unit image in the first captured image, acquiring a fifth gradation value obtained by correction of a gradation value of a fifth unit image based on the gradation value of the first unit image and a gradation value of a third unit image in the first captured image, calculating a first gradation value difference as a difference between a gradation value of the target image and the fourth gradation value, calculating a second gradation value difference as a difference between the gradation value of the target image and the fifth gradation value, and correcting a displayed image using a first correction value when the first gradation value difference is equal to or larger than the second gradation value difference.