Display Calibration System for Geometric and Color Distortion Correction
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Solution Overview
Problem
Image display devices often suffer from geometric and color distortions due to various optical and alignment issues, leading to imperfect image representation on the viewing surface.
Innovation Solution
A display calibration system comprising sensing devices and processors that analyze test images to compute and generate pre-compensating maps to correct for distortions, ensuring a distortion-free image display by partitioning the viewing surface into patches based on distortion severity and applying color correction maps.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If automated calibration system is implemented, then image quality and distortion correction are improved, but device complexity and cost increase
Solution Approach 1:
The viewing surface is partitioned into multiple patches based on distortion severity, allowing different correction strategies to be applied to different regions. This segmentation enables targeted calibration rather than uniform processing across the entire display surface.
Solution Approach 2:
Pre-compensating maps are generated and applied to input image data before display. This preliminary correction approach prevents distortion from occurring in the first place, rather than attempting to correct it after display.
2Measurement precision
If sensing devices and processors are added for distortion correction, then measurement precision of display geometry is improved, but device complexity increases
Solution Approach 1:
The display device performs self-calibration by displaying test patterns and using integrated sensing devices to automatically measure its own geometric and color distortions. This eliminates the need for external calibration equipment and manual measurement procedures.
Solution Approach 2:
The sensing devices capture images of test patterns displayed on the screen, and processors analyze these images to compute distortion characteristics. This feedback loop enables automatic generation of correction maps based on actual measured distortion.
3Manufacturing precision
If the viewing surface is partitioned into patches, then manufacturing precision of color correction is improved, but device complexity increases
Solution Approach 1:
Different correction parameters and methods are applied to different patches of the viewing surface based on their specific distortion characteristics. This local quality approach allows optimized correction for each region rather than using a single uniform correction method.
Solution Approach 2:
The system applies correction only to regions where distortion exceeds certain thresholds, partitioning the surface into patches of varying correction needs. This partial action approach reduces processing requirements compared to correcting the entire surface uniformly.
Data Source
AI summary
Various embodiments are described herein for a system and method for calibrating a display device to eliminate distortions due to various components such as one or more of lenses, mirrors, projection geometry, lateral chromatic aberration and color misalignment, and color and brightness non-uniformity. Calibration for distortions that vary over time is also addressed. Sensing devices coupled to processors can be used to sense display characteristics, which are then used to compute distortion data, and generate pre-compensating maps to correct for display distortions.


