Optical Transfer Function Coefficient Data Reduction for Image Restoration
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Solution Overview
Problem
Existing image processing methods require large amounts of optical transfer function (OTF) data to correct image deterioration caused by image pickup optical systems, making storage and processing inefficient, and may not provide satisfactory results across different apparatuses due to varying optical performance.
Innovation Solution
A system that determines and stores reduced OTF data using approximation functions with specific coefficients, allowing for efficient storage and processing of image restoration filters, tailored to each image processing apparatus based on its capabilities and requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If OTF data are calculated and stored for each pixel based on image pickup element information and optical system information, then image restoration accuracy is improved, but the amount of data to be stored becomes enormous and difficult to manage
Solution Approach 1:
The patent segments the OTF data by creating multiple sets of coefficient data corresponding to different regions of the image sensor (e.g., center region and corner regions). Instead of storing complete OTF data for every pixel, the system divides the sensor into regions and stores representative coefficient data for each region, significantly reducing the total data量 while maintaining restoration accuracy within each region.
Solution Approach 2:
The patent changes the representation parameters of OTF data from pixel-by-pixel complex functions to a compact set of coefficients that define approximation functions. By storing coefficients rather than complete OTF values for each pixel, and by allowing the approximation order (a key parameter) to be adjusted based on apparatus capabilities, the system achieves both data reduction and adaptability.
2Quantity of substance
If approximation functions are used to reduce OTF data, then data storage requirements are reduced, but satisfactory correction效果 cannot be obtained in apparatuses with different optical performance
Solution Approach 1:
The patent introduces dynamic adaptability by allowing the approximation order of the coefficient data to be adjusted based on the specific image processing apparatus being used. The system can select different approximation orders (e.g., 3rd order, 5th order, 7th order) depending on the computational capabilities and optical characteristics of the target apparatus, making the same coefficient data set universally applicable across different devices while maintaining optimal performance for each.
3Reliability
If complete OTF data are stored in each apparatus, then image restoration quality is improved, but device complexity and storage capacity requirements increase
Solution Approach 1:
The patent creates a master set of coefficient data that serves as a template or copy source. Instead of each apparatus storing complete OTF data independently, the system generates one master coefficient data set that can be copied and distributed to multiple apparatuses. Each apparatus then uses this copied coefficient data with locally determined approximation orders to achieve high-quality restoration without requiring large local storage capacity.
Data Source
AI summary
A control apparatus includes a storage circuit that stores first data containing a plurality of coefficient data obtained by approximating an optical transfer function of an optical system to an approximation function having a predetermined order. An input circuit inputs information of an image processing apparatus that is different from the control apparatus and performs image processing on an image captured by using the optical system. A determination circuit determines second data, that are coefficient data corresponding to an order lesser than the predetermined order of the approximation function, from the first data, based on the information of the image processing apparatus. An output circuit outputs the second data to the image processing apparatus.


