Projector Surface Correction via Pre-calculated Coefficients
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Solution Overview
Problem
Projectors face challenges in projecting high-quality images onto surfaces with uneven reflectance or illumination, as existing correction methods require time to calculate correction coefficients and are sensitive to surface changes, leading to potential image degradation if the surface is not optimally suited for projection.
Innovation Solution
A projector system that includes an image forming unit, detection unit, correction unit, and projection unit, which detects surface conditions, corrects images in real-time, and adjusts projection parameters to ensure optimal image quality, even if the surface is not initially suitable, by using a decision-making unit to assess the surface's suitability and a correction coefficient calculation unit to adapt to changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If correction coefficient calculation is performed to cancel surface patterns, then projection image fidelity is improved, but projection operation time is delayed significantly
Solution Approach 1:
The system performs correction coefficient calculation in advance before the actual projection operation begins. By pre-calculating the correction coefficients based on captured projection surface images, the system eliminates the time-consuming calculation process during projection operations, thus improving response speed while maintaining image fidelity.
Solution Approach 2:
The system captures images of the projection surface and creates a digital model of the surface characteristics. This digital copy is then used to calculate correction coefficients, avoiding the need for repeated real-time calculations during projection operations.
2Manufacturing precision
If correction is applied to cancel surface patterns, then projection image quality is improved, but the system becomes sensitive to projector position shifts
Solution Approach 1:
The system continuously monitors the actual projection position and compares it with the reference position where correction coefficients were calculated. When position shifts are detected, the system automatically updates the correction coefficients to match the new projection surface conditions, maintaining image quality despite position changes.
Solution Approach 2:
The correction coefficients are made dynamic rather than static. The system adapts the correction parameters in real-time based on detected position shifts and changes in projection surface conditions, allowing the system to maintain optimal performance under varying operational conditions.
3Adaptability or versatility
If dynamic range is adjusted to accommodate dark areas on projection surface, then coverage is improved, but corrected projection image quality deteriorates
Solution Approach 1:
The system applies different correction strategies to different regions of the projection surface. For dark areas, it uses one set of correction parameters optimized for low reflectance, while for normal areas, it uses different parameters. This region-specific correction maintains overall image quality while ensuring coverage on dark surfaces.
Solution Approach 2:
The system dynamically adjusts correction parameters based on the local reflectance characteristics of the projection surface. By changing correction parameters according to surface brightness and reflectance properties, the system maintains image quality across surfaces with varying characteristics including dark areas.
Data Source
AI summary
A projector includes: an image forming unit that forms a projection image; a detection unit that detects a condition at a projection surface onto which the projection image is projected; a correction unit that corrects a source image based upon the condition at the projection surface to obtain the projection image; and a projection unit that projects the projection image.