Interchangeable Lens Image Correction Data Segmentation
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Solution Overview
Problem
Existing image capturing apparatuses face challenges in reducing the size of optical correction data while maintaining high-accuracy correction for image deterioration caused by lens optical characteristics, particularly due to variations in focal distance, shooting distance, and diaphragm value, which requires large memory capacity and affects correction accuracy.
Innovation Solution
The apparatus includes an acquisition unit for data on image correction processing from the lens unit and a processing unit that performs image correction based on discrete information of shooting conditions, using a configuration where optical correction data is stored with division points for each optical parameter, allowing for reduced data size while maintaining high accuracy by interpolating correction values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If correction values corresponding to the entire optical parameters are stored as optical correction data, then correction accuracy is improved, but the size of optical correction data becomes remarkably large
Solution Approach 1:
The patent segments the optical parameters into multiple discrete levels (e.g., focal distance divided into 5 levels, shooting distance into 4 levels, diaphragm value into 4 levels). Instead of storing continuous correction data for all possible parameter combinations, the system divides the parameter space into discrete segments, storing correction values only at these segmented levels. This reduces data size while maintaining correction accuracy through selective sampling of critical parameter combinations.
Solution Approach 2:
The patent changes the representation of optical parameters from continuous values to discrete segmented levels. By transforming the parameter space into discrete categories (e.g., focal distance levels 1-5, shooting distance levels 1-4), the system reduces the complexity of data storage. The correction accuracy is maintained by ensuring that the discrete levels are sufficiently dense to capture the essential variations in optical characteristics across the full parameter range.
2Measurement precision
If a large-capacity memory is used to store optical correction data, then correction accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent applies segmentation to reduce memory capacity requirements by dividing the optical parameter space into discrete levels. Instead of requiring large-capacity memory to store continuous correction data for all possible parameter combinations, the segmented approach stores correction values only at discrete levels (e.g., 5 focal distance levels × 4 shooting distance levels × 4 diaphragm levels = 80 correction sets). This dramatically reduces memory requirements while maintaining correction accuracy for practical shooting scenarios.
Solution Approach 2:
The patent uses partial action by storing correction data only for discrete segmented levels rather than for all possible continuous parameter combinations. This partial coverage is sufficient to achieve high correction accuracy in practical applications, as most shooting conditions fall within or near these discrete levels. The system avoids the excessive memory capacity requirement that would be needed to store complete continuous correction data.
3Quantity of substance
If discrete point distortion aberration data is held and correction values are calculated from approximate equations, then data size is reduced, but correction accuracy deteriorates when shooting range varies according to focal distance
Solution Approach 1:
The patent applies dynamics by making the correction data structure adaptive to varying shooting conditions. Instead of using fixed discrete point data with static approximate equations, the system dynamically selects and interpolates correction values from multiple discrete levels corresponding to different focal distances, shooting distances, and diaphragm values. This dynamic approach ensures high correction accuracy across varying shooting ranges while maintaining reduced data size through discrete level segmentation.
Solution Approach 2:
The patent adds dimensions to the correction data structure by incorporating multiple discrete levels for focal distance, shooting distance, and diaphragm value. Instead of using a simple one-dimensional approximate equation, the system uses a multi-dimensional discrete level structure that captures the complex interactions between different optical parameters. This multi-dimensional approach maintains correction accuracy across varying shooting conditions while keeping data size manageable through discrete segmentation.
Data Source
AI summary
An image capturing apparatus capable of interchanging a lens unit includes a processing unit configured to perform image correction processing based on data acquired by an acquisition unit. In the image capturing apparatus, the acquired data includes information of a first shooting condition, configured in a discrete manner, information of a plurality of second shooting conditions provided for each information of the first shooting condition, and correction information corresponding to a combination of the information of the first shooting condition and the information of the second shooting condition.