Multi-Projection Image Correction via Unit Region Segmentation
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Solution Overview
Problem
Existing multi-projection systems face image quality degradation due to positional displacement of projected images, particularly in overlapping regions, where existing correction techniques fail to adaptively address inhomogeneous displacements, leading to insufficient or excessive corrections.
Innovation Solution
An image processing apparatus that acquires projected images, determines correction values for each unit region, and applies projection-position adjustments based on these values to suppress image quality degradation by calculating differential vectors and applying targeted corrections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If uniform image correction is applied to the entire projected image, then the correction process is simple, but regions with inhomogeneous displacement receive insufficient or excessive correction
Solution Approach 1:
The patent divides the overlapping region into multiple unit regions and calculates correction values independently for each unit region based on its local displacement characteristics. This segmentation allows precise adaptation to inhomogeneous displacement while maintaining manageable processing complexity through automated differential vector calculation.
Solution Approach 2:
The patent applies different correction values to different unit regions within the overlapping area, enabling each region to receive correction tailored to its specific displacement pattern. This local quality approach ensures that regions with varying displacement inhomogeneity are corrected appropriately without affecting other regions.
2Manufacturing precision
If adaptive correction is implemented for inhomogeneous displacement, then correction precision improves, but processing complexity increases
Solution Approach 1:
The patent implements dynamic correction by continuously calculating differential vectors between projected images and automatically generating unit region divisions with appropriate correction values. This dynamic approach adapts to changing displacement patterns in real-time, maintaining high precision while the automated processes manage complexity.
Solution Approach 2:
The patent uses feedback from differential vector calculations to determine correction values for each unit region. By continuously comparing projected image positions and adjusting corrections based on measured displacements, the system achieves high precision adaptive correction while the automated feedback loop manages processing complexity.
3Adaptability or versatility
If correction is performed during video projection, then adaptive correction is enabled, but processing time increases
Solution Approach 1:
The patent performs correction calculations at periodic intervals during video projection rather than continuously, dividing the overlapping region into unit regions and computing differential vectors at these intervals. This periodic approach enables adaptive correction to track displacement changes while maintaining acceptable processing timing through efficient batch processing of unit regions.
Solution Approach 2:
The patent pre-divides the overlapping region into unit regions and establishes correction calculation procedures before processing begins. This preliminary structuring allows efficient real-time correction during projection by simply applying the pre-established methodology to each unit region, reducing processing time while maintaining adaptability.
Data Source
AI summary
A projected image including at least an image of an overlapping region, on which a first video and a second video are superimposed, is obtained. A correction value for each unit region is determined based on the projected image and an image of a corresponding region in the first video. The corresponding region corresponds to the overlapping region, and the unit region is divided from the overlapping region. Projection-position adjustment based on the correction value is applied to the first video in each unit region.