Resolution Matching Wiener Filter for Multi-Camera Systems
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Solution Overview
Problem
Existing image processing systems struggle to produce images with consistent resolution and good quality across multiple imaging systems, as recovery filters are typically designed for individual systems and do not account for matching resolution values, leading to variations in image quality.
Innovation Solution
An image processing device and method that calculates a target resolution value based on input transfer functions and criteria, generating a recovery filter to ensure consistent resolution across multiple imaging systems, using a 'resolution matching Wiener filter' to minimize errors and adapt to imaging conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If individual recovery filters are designed for each imaging system, then each system can process its own images, but the resolution values of recovered images from multiple imaging systems become inconsistent
Solution Approach 1:
The patent combines multiple individual transfer functions into a single composite transfer function that represents the average characteristics of all imaging systems. This composite transfer function is then used to generate a single recovery filter that can be applied across all systems, ensuring consistent resolution values while maintaining the ability to process images from any individual system.
Solution Approach 2:
The recovery filter generated from the composite transfer function serves as a universal solution that can be applied to all imaging systems in the network. This single filter performs the function of resolving images from any imaging system while ensuring consistent resolution output, eliminating the need for system-specific filters.
2Manufacturing precision
If a single recovery filter is used for all imaging systems, then resolution consistency is improved, but the complexity of calculating the composite transfer function increases
Solution Approach 1:
The composite transfer function is calculated in advance during a setup phase, combining the transfer functions of all imaging systems before actual image processing begins. This preliminary calculation stores the composite characteristics for later use, avoiding the need for complex real-time calculations when processing images from multiple systems.
3Productivity
If recovery processing is performed without matching resolution values, then processing speed is maintained, but image quality deteriorates due to frequency characteristic mismatches
Solution Approach 1:
The recovery filter is specifically designed to change the frequency characteristics of recovered images, adjusting them to match a target resolution value. By modifying the frequency domain parameters through the transfer function and recovery filter, the system achieves consistent image quality across different imaging systems without compromising processing speed.
Data Source
AI summary
An image processing device includes a transfer function input unit to which each of transfer functions of a plurality of imaging-systems is input, a calculation unit that calculates a target resolution value which is a target value of recovery processing that recovers a plurality of captured images to be output from each of the plurality of the imaging-systems based on each of the input transfer functions and a predetermined criterion, a recovery filter generation unit that generates a recovery filter used for the recovery processing with respect to each of the plurality of imaging-systems based on each of the transfer functions of the plurality of imaging-systems and a target resolution value, and a recovered image generation unit that performs the recovery processing with respect to the captured images acquired from the plurality of imaging-systems by using the recovery filter generated for each of the plurality of imaging-systems to generate recovered images.