Multi-Camera Display Image Color Matching With Viewing Angle Correction
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Solution Overview
Problem
Existing image correction technologies fail to accurately account for uneven color and brightness when images are taken with multiple cameras due to differences in viewing angles and characteristics of LED displays, leading to low accuracy in color matching.
Innovation Solution
An image correction apparatus and system that uses viewing angle correction values and color/brightness correction parameters to adjust images captured by multiple cameras, including a processor to calculate and apply these corrections based on the position of each camera relative to a display screen, ensuring accurate color matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color matching is performed using traditional methods without considering viewing angle characteristics, then the process is simple, but the accuracy of color matching between multiple cameras is low
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing viewing angle correction values in a lookup table before actual image capture. The correction values are computed based on the display characteristics and camera positions, then stored for rapid retrieval during color matching operations. This eliminates the need for complex real-time calculations while maintaining high accuracy.
Solution Approach 2:
The patent segments the color correction process into distinct components: viewing angle correction and color matching correction. By separating these functions and applying viewing angle correction first using pre-computed values, then performing color matching on the corrected images, the system achieves high accuracy without overwhelming complexity in a single step.
2Adaptability or versatility
If multiple cameras are positioned at different angles to capture the display wall, then comprehensive coverage is achieved, but viewing angle characteristics cause uneven color and brightness that reduce matching accuracy
Solution Approach 1:
The patent applies local quality by computing and storing specific viewing angle correction values for different positions and angles relative to the display wall. Each camera position receives tailored correction values based on its specific viewing angle characteristics. This allows cameras at different locations to be corrected appropriately for their unique perspectives while maintaining overall system accuracy.
3Measurement precision
If viewing angle correction is applied using pre-stored correction values, then color matching accuracy is improved, but additional processing steps are required
Solution Approach 1:
The patent resolves this contradiction by performing the computationally intensive viewing angle correction calculations in advance and storing the results in a lookup table. During actual operation, the system simply retrieves pre-computed correction values and applies them to images, which is much faster than real-time calculation. This preliminary preparation maintains high accuracy while significantly improving processing efficiency during production.
Data Source
AI summary
An image correction apparatus which improves the accuracy of color matching between image pickup apparatuses. The image correction apparatus performs color matching between the image pickup apparatuses using picked-up images generated by displaying a display image on a display screen and causing the plurality of image pickup apparatuses to shoot the display image. In the image correction apparatus, viewing angle correction values for use in correcting viewing angle characteristics resulting from positions of the plurality of image pickup apparatuses with respect to the display screen to a predetermined viewing angle characteristics are stored in memory, corrected images are generated by subjecting the display image in the picked-up images to correction using the viewing angle correction values, and color correction values for use in color matching between the plurality of corrected images are calculated.