Automated Image Quality Evaluation Using Calibration Pattern Comparison
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Solution Overview
Problem
Existing image quality evaluation methods rely heavily on human expertise, which is time-consuming and subjective, and struggle to provide objective and precise assessments, especially in complex scenes.
Innovation Solution
An image quality evaluation system that includes an image calibration device displaying a calibration pattern, an image capturing device, and a processing device. The system captures comparison images and reference images, compares the calibration patterns to generate calibration information, and uses this information to calibrate the image capturing device and evaluate image quality objectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human experts are used for image quality assessment, then subjective evaluation based on personal preferences can be provided, but training time is long and evaluation is time-consuming
Solution Approach 1:
The patent replaces human expert evaluation with an automated image processing system that uses computational algorithms to objectively measure image quality parameters such as sharpness, contrast, saturation, brightness, and noise level, thereby eliminating the need for lengthy expert training and subjective evaluation
Solution Approach 2:
The system enables self-service image quality assessment where the image processing device automatically evaluates image quality without requiring human intervention, using built-in algorithms to quantify quality metrics and provide objective feedback
2Ease of operation
If human experts perform image quality evaluation, then subjective feedback can be provided, but the evaluation process is time-consuming
Solution Approach 1:
The patent substitutes manual expert evaluation with automated computational algorithms that rapidly analyze image parameters including sharpness, contrast, saturation, brightness, and noise level, dramatically increasing evaluation speed while maintaining objectivity
Solution Approach 2:
The image processing device continuously monitors and evaluates image quality parameters in real-time during the photographing process, providing ongoing feedback without interruption and eliminating the batch processing nature of manual expert review
3Measurement precision
If calibration pattern comparison is performed, then objective image quality assessment can be achieved, but additional calibration equipment and processing steps are required
Solution Approach 1:
The calibration pattern serves multiple functions: it acts as a reference standard for objective quality measurement, provides calibration data for the imaging device, and enables automated evaluation of multiple image quality parameters simultaneously, reducing the need for separate calibration equipment
Solution Approach 2:
The calibration pattern acts as an intermediary reference element that bridges the imaging device and the evaluation system, providing a standardized target that enables objective comparison and measurement of image quality parameters without requiring direct measurement of the actual scene
Data Source
AI summary
An image quality evaluation system includes an image calibration device, an image capturing device, and a processing device. The image calibration device is placed in a scene and used for displaying a calibration pattern. The capturing device captures a first comparison image of the scene and the calibration pattern. The processing device is configured to obtain the first comparison image and a reference image containing the calibration pattern and compare the calibration pattern in the first comparison image and the reference image to generate calibration information. After being calibrated according to the calibration information, the image capturing device captures a second comparison image of the scene and the calibration pattern, and the processing device compares the calibration pattern in the second comparison image and the reference image to generate an image quality evaluation result.


