Image Stabilization Performance Evaluation Method
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Solution Overview
Problem
Current methods for evaluating the performance of a camera's image stabilization function are limited in accurately assessing the difference in image quality between static and vibrated states, leading to incomplete performance evaluation.
Innovation Solution
An evaluation method that involves imaging an object with the image stabilization function enabled and disabled, calculating motion blur amounts, and determining evaluation values based on the difference in image quality between these states, using a combination of static and vibrated imaging steps to assess the camera's performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If only a single imaging step is used for evaluation, then the evaluation process is simple, but the measurement precision of image stabilization performance is insufficient
Solution Approach 1:
The evaluation process is divided into multiple distinct imaging steps (first imaging step with vibration, second imaging step without vibration) to separately capture different aspects of image quality. This segmentation allows for precise comparison and measurement of image stabilization performance by isolating the effect of vibration from other factors.
Solution Approach 2:
The evaluation method adds a temporal dimension by performing imaging at different states (vibrated and static) and then comparing results. This multi-dimensional approach transforms a single static evaluation into a dynamic comparison process, significantly improving measurement precision without excessive complexity.
2Measurement precision
If multiple imaging steps are performed to compare image quality, then the measurement precision improves, but the loss of time increases
Solution Approach 1:
The camera performs imaging operations in advance under different conditions (with vibration and without vibration) while storing both images. This preliminary capture of multiple states allows for efficient post-processing comparison without requiring extended evaluation time, as all necessary data is already acquired.
Solution Approach 2:
The method creates a copy of the imaging process under different conditions - taking identical images both with and without vibration. This copying approach allows for direct comparison of image quality differences while maintaining efficient evaluation throughput, as the same imaging parameters are used in both copies.
Data Source
AI summary
An evaluation method for evaluating the performance of an image stabilization function of an imaging apparatus includes: a first imaging step of imaging an object, with the image stabilization function being ON and the imaging apparatus being vibrated; a second imaging step of imaging the object, with the imaging apparatus being static; a first calculation step of calculating a first shutter speed based on the image taken in the first imaging step, and calculating a first evaluation value based on the first shutter speed and a reference shutter speed; a second calculation step of calculating a second evaluation value based on the images taken in the first and second imaging steps; and an evaluation step of calculating an evaluation value of the performance of the image stabilization function of the imaging apparatus, based on a result of subtraction of the second evaluation value from the first evaluation value.