Projector Color Adjustment Using Feedback Correction
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Solution Overview
Problem
Existing color adjustment methods for multiple projectors using camera-captured images often result in color discrepancies recognized by human eyes as different colors, even after automatic adjustment, requiring manual intervention to achieve accurate color matching.
Innovation Solution
A method involving a first and second process to determine and update correction values for projector images, where the first process adjusts the color of a third image based on captured images from both projectors, and the second process accepts operator corrections to determine a second correction value, with automatic updates when a set condition is met, ensuring accurate color matching without continuous manual adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If automatic color adjustment is performed using camera-captured images, then color correction is automated, but color discrepancies remain that are recognized by human eyes as different colors
Solution Approach 1:
The patent implements a feedback mechanism where the system captures images of the projected test patterns using cameras, compares the captured images to generate correction values, and automatically applies these corrections. This closed-loop feedback enables continuous improvement of color matching precision while maintaining automation, resolving the contradiction between automated adjustment and precise color matching.
Solution Approach 2:
The patent adjusts multiple color parameters including chromaticity coordinates and luminance values to correct color discrepancies. By systematically changing these parameters based on captured image data and comparison results, the system achieves both automated correction and high precision color matching that satisfies human visual perception requirements.
2Manufacturing precision
If manual adjustment is performed after automatic adjustment, then color accuracy is improved, but operation complexity and time consumption increase
Solution Approach 1:
The patent enables the system to perform self-adjustment by automatically generating correction values from captured test pattern images and applying them without requiring manual intervention. The system serves itself by using its own captured data to correct its output, eliminating the need for complex manual operations while maintaining high color accuracy.
3Productivity
If multiple projectors are synchronized, then overall system performance is improved, but color inconsistency between projectors occurs
Solution Approach 1:
The patent divides the color adjustment process into separate correction steps for each projector, allowing individual color calibration. By segmenting the adjustment process and applying projector-specific correction values based on captured test patterns, the system achieves both high system performance and consistent color output across multiple projectors.
Data Source
AI summary
A control section of a first projector performs automatic color adjustment that determines, based on the result of capture of a first image projected by the first projector and a second image projected by a second projector, a first correction value used to correct the color of the first image, performs manual color adjustment that accepts the operation of correcting the color of a third image produced by correcting the first image with the first correction value and projected by the first projector and determines, based on the result of the operation, a second correction value used to correct the color of the third image, updates the first correction value by performing the automatic color adjustment again when a setting condition set in advance is satisfied, and outputs the first correction value updated by performing the automatic color adjustment again and the second correction value.