Projector Trapezoidal Correction via Imager Feedback
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Solution Overview
Problem
Projectors face challenges in correcting image distortion and brightness distribution variations when not aligned straight with the screen, due to factors like screen inclination, individual differences, and aging in the projector and imager optical systems.
Innovation Solution
A projector system that includes an image projecting section, an imaged-information generating section, and a distortion correcting section, which uses correcting-image data to compensate for distortion caused by screen inclination, by determining the peak shift in lightness and modifying the correcting image to approximate the angular change, thereby reducing measurement errors and enhancing robustness in correction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the projector is arranged not to face straight toward the screen, then the projector can project to screens at various angles and positions, but distortion is induced in the image and brightness distribution varies
Solution Approach 1:
The system performs preliminary distortion correction by calculating correction amounts based on pre-stored optical characteristics and inclination angle data before actual projection. The correction image is generated in advance through image processing that compensates for expected distortion, allowing the projector to maintain image quality across various screen angles without requiring physical realignment
Solution Approach 2:
The system dynamically adjusts projection parameters including correction amounts, image processing data, and optical characteristics based on the detected screen inclination angle. By changing these parameters according to the actual projection geometry, the system compensates for distortion while maintaining versatility in different arrangement configurations
2Ease of operation
If the projector is provided with an imager, then the system can detect screen inclination through reception light variation, but measurement accuracy is reduced due to individual differences and aging in the optical system
Solution Approach 1:
The system uses the imager to detect reception light and automatically determines screen inclination angle based on the detected value. This feedback mechanism allows the system to adapt to actual projection conditions without manual intervention, while the correction amount calculation incorporates compensation for optical system variations to maintain measurement accuracy
Solution Approach 2:
The system stores optical characteristics as reference data and uses these stored values to calculate correction amounts that compensate for individual differences and aging. By comparing actual reception light detection with pre-stored optical characteristics and adjusting the correction parameters accordingly, the system maintains measurement precision despite optical system variations
3Device complexity
If the system corrects distortion using conventional methods, then the correction process is simple, but the correction robustness is insufficient due to unaccounted optical system variations
Solution Approach 1:
The system performs preliminary calculations of correction amounts based on stored optical characteristics and inclination angle data before actual projection. This advance preparation allows the system to account for optical variations in advance, enhancing correction robustness without adding complexity during the actual projection process
Solution Approach 2:
The system incorporates feedback from the imager's reception light detection to continuously refine correction parameters. By using detected optical characteristics to adjust correction amounts, the system maintains high correction robustness while keeping the overall process manageable through automated feedback-based adjustment
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively compensates for image distortion and brightness variations, improving the robustness of correction and reducing errors related to screen inclination, individual differences, and aging in the projector and imager systems.
Implementation Method 1
an imager (250) that has been arranged to image the projected image
Implementation Method 2
an optical system (100) that has been arranged to project light from the image section (120) to a screen (SC)
Implementation Method 3
an optical system (100) that has been arranged to project light from the image section (120) to a screen (SC)
Data Source
AI summary
A projector includes an image projecting section that is structured to project an image according to an input image, to a virtual projection plane arranged in a predetermined positional relationship therewith, an imaged-information generating section that has an output-image taking section to take an output image projected to a real projection plane and outputs imaged information containing lightness information having a correlation to a lightness in accordance with an image taken, and a distortion correcting section that corrects a distortion, in an output image for the input images, caused by an inclination of between the virtual and real projection planes, according to the imaged information.