Anti-Keystoning Algorithm for Laser Image Distortion Correction
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Solution Overview
Problem
Conventional projection systems suffer from keystone distortion when the projection angle deviates from the normal of the surface, limiting flexibility and viewer experience due to inflexible positioning requirements.
Innovation Solution
A method involving defining an environmental model, projecting a laser image, determining vector parameters, and applying an anti-keystoning algorithm to correct image distortion, using localization circuitry and distortion correction circuitry within the projector to adjust the image projection accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the projector is positioned at an angle perpendicular to the projection screen to avoid keystone distortion, then image quality is improved, but positioning flexibility and viewer experience deteriorate
Solution Approach 1:
The system performs preliminary actions by defining an environmental model and calculating distortion correction parameters before projection. The processor pre-determines the projection surface geometry and computes the distortion map that will be applied to the image, allowing the projector to compensate for keystone distortion even when positioned at non-perpendicular angles.
Solution Approach 2:
The system changes parameters by dynamically adjusting the image data based on calculated distortion parameters. The processor modifies projection parameters including distortion correction factors, rotation angles, and scaling ratios according to the detected projection surface orientation, enabling flexible positioning while maintaining image quality.
2Adaptability or versatility
If the projector is positioned at non-perpendicular angles to improve positioning flexibility, then positioning flexibility is improved, but image distortion increases
Solution Approach 1:
The system converts the harmful keystone distortion effect into a beneficial correction opportunity. By detecting the projection surface orientation and calculating the distortion parameters, the system applies inverse distortion to the image data, effectively converting the geometric distortion that would normally degrade image quality into a corrected output that maintains quality while enabling flexible positioning.
Solution Approach 2:
The system replaces the mechanical constraint of perpendicular positioning with a computational solution. Instead of requiring physical alignment through mechanical means, the system uses image processing algorithms and distortion correction calculations to achieve the same effect, substituting mechanical precision requirements with computational correction.
3Manufacturing precision
If real-time distortion correction is implemented to maintain image quality at various angles, then image quality is improved, but device complexity increases
Solution Approach 1:
The system implements self-service by using the projector's own processor to perform distortion correction calculations and environmental modeling. The projector autonomously detects projection surface characteristics, calculates distortion parameters, and applies corrections without requiring external processing equipment or complex additional hardware, thereby managing complexity through integrated self-processing.
Solution Approach 2:
The system achieves multi-functionality by integrating environmental modeling, distortion calculation, and image correction capabilities within a single projector unit. The processor performs multiple functions including surface detection, parameter calculation, and real-time image processing, consolidating what could be separate systems into one universal device that handles all correction tasks internally.
Data Source
AI summary
An exemplary method includes defining an environment, formulating an anti-keystoning algorithm based at least in part on the defined environment, projecting a laser image from a source to a surface of the defined environment, determining at least one vector parameter with respect to the source and the surface and correcting the laser image based on the anti-keystoning algorithm and the at least one vector parameter. Various other apparatuses, systems, methods, etc., are also disclosed.