Camera Lens Recovery Filter Generation via OTF Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems for single-lens reflex cameras with interchangeable lenses face challenges in efficiently storing and managing recovery process information due to the large amount of data required for various combinations of imaging lenses and camera bodies, leading to cumbersome operations and memory limitations.
Innovation Solution
An image processing apparatus and method that generates recovery filters by reading lens and camera characteristic values from non-volatile memories, using OTF data and device characteristics to create coefficients for correction filters, reducing the need for extensive data storage and simplifying the process of updating recovery information with new lens or camera models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If recovery process information is stored for all combinations of imaging lenses and camera bodies, then image recovery accuracy is improved, but data storage requirements and device complexity increase significantly
Solution Approach 1:
The patent segments the recovery process information into two parts: (1) common information stored in the camera body (lens mounting information, camera characteristics), and (2) lens-specific information stored in the imaging lens (optical characteristics, PSF data). This segmentation allows the system to maintain high recovery accuracy for each lens-camera combination without requiring the camera body to store all possible combination data, thereby reducing overall data storage requirements.
Solution Approach 2:
The imaging lens acts as an intermediary that stores and transmits lens-specific recovery information (optical characteristics and PSF data) to the camera body. This intermediary approach allows the system to achieve accurate recovery for specific lens-camera combinations without the camera body needing to maintain extensive databases for all possible combinations, thus reducing device complexity and storage requirements.
2Measurement precision
If recovery process information is stored for all combinations of imaging lenses and camera bodies, then image recovery accuracy is improved, but device complexity and memory size requirements increase
Solution Approach 1:
The patent divides the memory management responsibility between two devices: the camera body stores common recovery information and lens mounting data, while the imaging lens stores its own optical characteristics and PSF data. This segmentation simplifies the memory management complexity for each individual device, as neither needs to handle all possible lens-camera combination data.
Solution Approach 2:
The imaging lens is designed to self-identify and provide its own optical characteristics and PSF data to the camera body through communication protocols. This self-service approach eliminates the need for the camera body to maintain extensive databases for all lens models, thereby reducing device complexity and memory management burden.
3Measurement precision
If extensive recovery data is stored in the camera body, then recovery filter generation accuracy is improved, but data communication efficiency decreases
Solution Approach 1:
The patent extracts lens-specific recovery information (optical characteristics and PSF data) from the camera body's database and relocates it to the imaging lens itself. This extraction reduces the amount of data that needs to be communicated between the lens and camera body during recovery filter generation, as the lens now provides its own data locally, thereby improving data communication efficiency while maintaining recovery accuracy.
Solution Approach 2:
The imaging lens serves as an intermediary that locally stores and provides its own optical characteristics and PSF data to the camera body during recovery filter generation. This intermediary approach eliminates the need for the camera body to retrieve extensive lens-specific data from external sources or large internal databases, thereby reducing data communication requirements while maintaining accurate recovery filter generation.
Data Source
Figure 1~2
Figure 3
Figure 4
AI summary
Optical transfer information of an imaging lens is input from the imaging lens, and characteristic information of an image capturing unit of an image capturing apparatus is acquired. The optical transfer information is converted into that, which depends on the characteristics of the image capturing unit, based on the characteristic information. A correction filter, which corrects degradation of an image captured via the imaging lens, is generated based on the optical transfer information which depends on the characteristics of the image capturing unit.