Image Stabilization Evaluation for Peripheral and Roll Blur
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Solution Overview
Problem
Existing methods for evaluating image stabilization effects in imaging apparatuses primarily focus on central image regions, neglecting the evaluation of rotational blur (roll blur) and image stabilization in peripheral regions, which are crucial for accurate assessment.
Innovation Solution
A method involving the acquisition of images under vibrational and stationary conditions to calculate an evaluation value for peripheral regions based on blur amount differences, incorporating image height influence measurements like luminance distribution, resolution, and distortion to correct for optical aberrations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image stabilization effect is evaluated based on central image region only, then evaluation process is simple, but evaluation precision is insufficient for peripheral regions and rotational blur
Solution Approach 1:
The imaging surface is divided into multiple evaluation regions including a central region and multiple peripheral regions. Each region is evaluated separately for blur amount, allowing comprehensive assessment of image stabilization performance across the entire imaging surface rather than relying solely on central region evaluation.
Solution Approach 2:
The evaluation method extends from one-dimensional central region assessment to two-dimensional spatial distribution assessment by evaluating multiple peripheral regions at different positions (e.g., upper, lower, left, right sides) relative to the optical axis, enabling detection of rotational blur and peripheral stabilization performance.
2Measurement precision
If blur amount is calculated directly without correction, then calculation process is simple, but measurement precision is affected by optical aberrations
Solution Approach 1:
Optical aberration characteristics (luminance distribution, resolution, distortion) are measured and stored in advance for each evaluation region. These pre-measured characteristics are then used to correct blur amount calculations, eliminating the need for complex real-time aberration analysis during evaluation.
Solution Approach 2:
Optical aberration characteristics serve as intermediary correction factors. The blur amount is corrected by applying these pre-measured characteristics (luminance distribution, resolution, distortion) to compensate for optical aberrations, thereby improving measurement precision without significantly increasing computational complexity.
Data Source
AI summary
An evaluation method for an image stabilization effect of an imaging apparatus comprising: acquiring a first image obtained by imaging an object in a state in which the imaging apparatus is vibrated; acquiring a second image obtained by imaging the object in a state in which the imaging apparatus is stationary; and calculating an evaluation value indicating an image stabilization effect in a peripheral region of the imaging apparatus, based on a difference in blur amounts between the first image and the second image in the peripheral region deviated from the center of an optical axis.