Birefringence Measurement Background Correction with Dual Low-Pass Filtering
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Solution Overview
Problem
Current methods for reading birefringent voxels in data storage media fail to correct for background polarization changes arising from the storage medium itself, requiring additional measurements and increasing data reading time.
Innovation Solution
A computer-implemented method using two or fewer measurements to determine birefringence values by applying low-pass filters with different cutoff frequencies to correct for both local and global background characteristics, and utilizing wavelength multiplexing to reduce the number of images required for reading.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a separate background measurement is acquired in the absence of the storage medium, then background polarization changes from external sources can be corrected, but the data reading time increases due to the additional measurement
Solution Approach 1:
The patent extracts and removes the background polarization signal from the total measured signal by applying low-pass filters to isolate and subtract the background component, enabling correction without separate background measurements
Solution Approach 2:
The storage medium image itself is used to generate the background correction signal through filtering operations, eliminating the need for external background measurements while using the medium's own optical properties for correction
2Measurement precision
If multiple measurements are taken to correct for background polarization changes, then measurement accuracy improves, but the number of measurements and computing resources required increases
Solution Approach 1:
The patent applies partial filtering actions using low-pass filters with different cutoff frequencies to extract background information from the same image, achieving correction with minimal additional processing rather than multiple full measurements
Solution Approach 2:
The patent changes the temporal frequency parameters of the signal by applying filters with different cutoff frequencies to separate background and voxel signals, enabling correction through parameter manipulation rather than additional measurements
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Reduces the time and computing resources needed for data reading by correcting background polarization without additional measurements, enhancing the efficiency of data retrieval from birefringent storage media.
Implementation Method 1
encode the data as localized birefringent voxels in a dielectric storage medium. Such data may be stored at high densities, and the storage medium may have a long lifetime compared to magnetic and other storage media. Reading a birefringent voxel involves probing the voxel with polarized light, and detecting polarization changes in the light resulting from the voxel.
Implementation Method 2
applying a first low-pass filter with a first cutoff frequency to the image of the voxel to obtain a first background image, applying a second low-pass filter with a second cutoff frequency to the image of the voxel to obtain a second background image
Data Source
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AI summary
One example provides a computer-implemented method for reading data stored as birefringence values in a storage medium. The method comprises acquiring an image of a voxel of the storage medium, applying a first low-pass filter with a first cutoff frequency to the image of the voxel to obtain a first background image, applying a second low-pass filter with a second cutoff frequency to the image of the voxel to obtain a second background image, the second cutoff frequency being different than the first cutoff frequency, determining an enhanced background image from the first background image and the second background image, determining birefringence values for the enhanced background image, determining birefringence values for the image of the voxel, and correcting the birefringence values for the image of the voxel based upon the birefringence values for the enhanced background image.