Depth-of-Field Distortion Detection Using Line Width Analysis
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Solution Overview
Problem
In display technologies such as virtual and holographic image displays, depth-of-field distortion poses a safety risk, particularly in critical applications like vehicle-mounted head-up displays, where high imaging quality is essential, and existing methods fail to effectively detect and mitigate this distortion.
Innovation Solution
An image distortion detection method and system that outputs a test image, typically a grid or equiangular grid pattern, and uses an image acquisition apparatus to capture images at varying focal lengths, determining distortion by analyzing the widths of lines in the imaged pictures, ensuring the image distortion meets specific thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If depth-of-field distortion is not detected, then image output can proceed without interruption, but image quality safety is compromised
Solution Approach 1:
The patent uses an image acquisition device to capture a copy of the test image output by the image output device. This optical copy allows distortion detection without modifying the original image output process, maintaining system simplicity while enabling quality verification through line width analysis in the captured image
Solution Approach 2:
The patent introduces a test image with known line patterns as an intermediary element. This test image serves as a mediator between the image output device and the detection system, allowing distortion to be quantified through line width measurements without requiring direct measurement of the actual application image
2Measurement precision
If multiple focal lengths are tested to find the clearest image, then measurement precision improves, but detection time increases
Solution Approach 1:
The patent adjusts the focal length to multiple positions (excessive action) to ensure the clearest image is captured, then selects the optimal image for analysis. This approach prioritizes measurement precision over minimal testing, accepting additional time investment to guarantee accurate distortion measurements
Solution Approach 2:
The patent performs preliminary focal length adjustments and image capture before the actual distortion measurement. By pre-establishing the clearest image through focal length optimization, the subsequent line width analysis can proceed with high precision without repeated adjustments during the measurement phase
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
Effectively detects and assesses depth-of-field distortion in image outputs, ensuring the image quality meets requirements by determining the clearest image and focal length adjustments, thereby enhancing safety in applications like vehicle-mounted head-up displays.
Implementation Method 1
shooting the test image by an image acquisition apparatus to obtain an imaged picture, the imaged picture being a picture shot when the image acquisition apparatus focuses on an imaging position of the image output device
Data Source
AI summary
Provided is an image distortion detection method including: controlling an image output device to output a test image; shooting the test image by an image acquisition apparatus to obtain an imaged picture, the imaged picture being a picture shot when the image acquisition apparatus focuses on an imaging position of the image output device, and the image acquisition apparatus being arranged at a set viewpoint of the image output device; and determining whether image distortion meets a requirement based on widths of lines in the imaged picture. Embodiments of the present disclosure can be used for detecting depth-of-field distortion of the image output by the image output device.