Image Matching Device Frequency Weight Determination
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Solution Overview
Problem
Existing image matching methods face accuracy issues due to fixed pattern noise common to multiple images, particularly when the pattern affecting matching cannot be captured alone, leading to decreased matching accuracy.
Innovation Solution
An image matching device and method that determine a weight based on the difference between a synthesized frequency characteristic and an ideal synthesized frequency characteristic, allowing for accurate matching by isolating and weighting relevant frequency components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If synthesized frequency characteristic is used for image matching, then matching speed is improved, but matching accuracy deteriorates due to fixed pattern noise commonly included in multiple images
Solution Approach 1:
The patent extracts and removes the fixed pattern noise component from the synthesized frequency characteristic by comparing it with the ideal synthesized frequency characteristic. This extraction principle allows the system to separate the useful frequency components from the harmful fixed pattern noise, thereby maintaining fast matching speed while improving matching accuracy.
Solution Approach 2:
The patent changes the parameter weighting in the frequency domain by determining weights for each frequency component based on the difference between synthesized and ideal synthesized frequency characteristics. This parameter change allows the system to emphasize useful frequency components and suppress noisy components, resolving the contradiction between speed and accuracy.
2Measurement precision
If weight determination based on frequency difference is applied, then matching accuracy is improved, but device complexity increases
Solution Approach 1:
The patent performs preliminary determination of frequency weights before actual image matching. By pre-calculating the weights based on the difference between synthesized and ideal synthesized frequency characteristics, the system avoids complex real-time calculations during matching, thus improving accuracy while controlling processing complexity.
Solution Approach 2:
The system uses the images themselves to determine the weights automatically. The weight determination process is self-contained, using the synthesized frequency characteristic and ideal synthesized frequency characteristic derived from the input images to generate the weighting scheme, eliminating the need for external calibration or manual parameter setting.
Data Source
AI summary
An image matching device includes a weight determination unit and a matching unit. Based on a synthesized frequency characteristic obtained by synthesizing a frequency characteristic of a first image with a frequency characteristic of a second image and an ideal synthesized frequency characteristic that is an ideal one obtained by synthesizing the frequency characteristic of the first image with the frequency characteristic of the second image, the weight determination unit determines a weight relating to frequency in performing matching of the first image and a third image. The matching unit performs matching of the first image and the third image based on the determined weight.