Projector Focus Adjustment Using Dynamic Grayscale Pattern
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing projector focus adjustment methods are often insufficient due to the initial projection state, leading to inaccurate adjustments, especially when the projector's relative position, focus deviation, and camera resolution are suboptimal, resulting in difficulties in achieving precise grayscale differences between white and black lines in the projected image.
Innovation Solution
An image processing apparatus and method that produce an adjustment image with a grayscale pattern, which is imaged and analyzed to adjust its characteristics, such as brightness and interval, to match the captured image's grayscale pattern, ensuring a suitable index value for focus adjustment, thereby improving the accuracy of focus adjustments by suppressing the influence of the initial projection state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a standard grayscale adjustment image is used for focus adjustment, then the adjustment process is simple, but the grayscale pattern of the captured image may deviate significantly from the original due to projection state variations, leading to insufficient focus adjustment accuracy
Solution Approach 1:
The system captures the projected adjustment image, compares the grayscale pattern with the original, and uses this feedback to determine whether correction is needed. The feedback loop includes capturing the adjustment image, calculating grayscale patterns, comparing them, and selectively correcting based on the comparison result, thereby improving focus adjustment accuracy while maintaining simple processing when conditions permit
Solution Approach 2:
When the grayscale pattern deviation exceeds the threshold, the system changes parameters of the adjustment image (brightness, contrast, grayscale distribution) to correct the deviation. This dynamic parameter adjustment ensures the adjustment image adapts to different projection states, improving measurement precision without permanently increasing system complexity
2Adaptability or versatility
If the projector is positioned in suboptimal locations or has high focus deviation, then setup flexibility is improved, but the grayscale difference between white and black lines in the captured image becomes insufficient, making accurate focus adjustment difficult
Solution Approach 1:
The system preemptively corrects the adjustment image before it is projected, based on predicted or measured projection state variations. By pre-adjusting the grayscale pattern to compensate for expected deviations caused by suboptimal positioning or focus deviation, the system maintains measurement precision while preserving setup flexibility
Solution Approach 2:
The system performs preliminary correction of the adjustment image by comparing the captured grayscale pattern with the original and applying corrections in advance. This preliminary action ensures that even when projected from suboptimal positions, the adjustment image will have sufficient grayscale contrast for accurate focus measurement
3Ease of manufacture
If the imaging camera has low resolution or high focus deviation, then hardware cost or initial setup tolerance is reduced, but the captured image quality deteriorates, causing portions of white lines to blacken or black lines to whiten, reducing adjustment accuracy
Solution Approach 1:
The system uses the captured adjustment image itself to diagnose quality issues and trigger corrective actions. By analyzing the grayscale pattern of the captured image, the system automatically determines whether correction is needed and applies appropriate corrections, enabling low-resolution or poorly-focused cameras to achieve acceptable measurement precision without external intervention
Solution Approach 2:
The system dynamically changes parameters of the adjustment image (brightness enhancement, contrast adjustment, grayscale redistribution) based on the quality of the captured image. When low resolution or high focus deviation is detected, the system adjusts parameters to compensate for image quality degradation, maintaining sufficient grayscale differentiation for accurate focus adjustment
Data Source
AI summary
An image processing apparatus projects and displays an image on a projection surface. The image processing apparatus includes an adjustment image producing section (an adjustment image producing section and an image analysis section) that produces an adjustment image for adjusting a focus of a projected image to be displayed on the projection surface and an imaging section that images the adjustment image projected on the projection surface. The adjustment image producing section changes the adjustment image to be produced, such that a grayscale pattern of a captured adjustment image obtained by imaging is close to a grayscale pattern of the adjustment image.