Image Sensor Data Arrays for High-Throughput Focus Detection
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Solution Overview
Problem
Existing focus detection methods in lens interchangeable cameras require large memory capacity and high computational load due to the need for extensive table lookups and interpolation of optical parameters, leading to decreased throughput in image development and focus detection processing.
Innovation Solution
A processing apparatus that stores data in a specific array order based on pixel positions and optical conditions, allowing for efficient calculation and storage of conversion coefficients, reducing the number of memory transactions and improving processing speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If parameters are stored in a table in memory for focus detection calculations, then calculation accuracy is improved, but memory capacity requirement increases and table lookup time increases
Solution Approach 1:
The patent divides the parameter table into multiple smaller tables, each storing parameters for specific regions of the image sensor (e.g., central region, peripheral region). This segmentation reduces the size of individual table lookups and allows for more efficient memory access patterns during focus detection calculations.
Solution Approach 2:
The patent pre-calculates and stores conversion coefficients for different pixel positions and optical conditions in the memory tables before actual focus detection is needed. This preliminary preparation eliminates the need for complex real-time calculations during image processing, reducing computational load and improving throughput.
2Measurement precision
If extensive table lookups are performed for optical parameters, then calculation accuracy is improved, but processing throughput deteriorates
Solution Approach 1:
The patent applies different table lookup strategies for different regions of the image sensor. For example, central pixels use one set of parameters while peripheral pixels use another set, optimized for their specific optical characteristics. This local customization reduces unnecessary lookups and improves overall processing efficiency.
Solution Approach 2:
The patent dynamically selects which tables to access based on the current pixel position and optical conditions. By adapting the table lookup process to the specific requirements of each calculation, the system minimizes unnecessary memory accesses and optimizes throughput for different imaging scenarios.
3Measurement precision
If interpolation is performed for pixel positions, F-numbers, and PO values, then parameter accuracy is improved, but computational load increases
Solution Approach 1:
The patent performs interpolation only for the essential parameters needed for focus detection, rather than interpolating all possible optical parameters. This selective approach reduces computational complexity while maintaining sufficient accuracy for the application.
Solution Approach 2:
The patent transforms the parameter space by organizing tables according to specific parameter relationships (e.g., grouping parameters by pixel position region or optical condition). This reorganization allows for more efficient interpolation and reduces the computational effort required to obtain accurate parameters.
Data Source
AI summary
A processing apparatus includes a memory storing first data, in which information for each pixel position on an image sensor is stored in a first array in an order from an optical axis of an imaging optical system toward a periphery or from the periphery toward the optical axis, and second data, in which the first data is stored in a second array regarding an optical condition, and a processor configured to calculate third data using a plurality of consecutive adjacent data of a part of the first data in the second data, and store in the memory the third data in a third array different from the first array.