Pixel Correlation Detection for False Color Suppression
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Solution Overview
Problem
Image apparatuses with color filters of different spectral sensitivities face issues with false signal leakage during interpolation, leading to false colors, especially due to varying sampling positions and high-frequency noise, which existing methods struggle to fully suppress without increasing circuit complexity or control flow complications.
Innovation Solution
The solution involves a pixel correlation detection method that calculates a centroid position to determine the contribution ratio of pixel signals, adjusting coefficients to prioritize signals with high correlation and reduce false signal leakage, thereby suppressing false colors and improving image quality by simplifying hardware and streamlining software processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If interpolation processing is performed using peripheral pixels with fixed coefficients, then the extraction of color signals is simplified, but false signals leak into the interpolation signal causing false colors
Solution Approach 1:
The patent dynamically adjusts the coefficients of the spatial filter based on the correlation between the center pixel and peripheral pixels. Instead of using fixed coefficients, the system calculates correlation values and modifies coefficients accordingly to suppress false signal leakage while maintaining processing efficiency.
Solution Approach 2:
The patent changes the parameters (coefficients) of the spatial filter based on the local image characteristics. By calculating correlation values between center and peripheral pixels, the system adapts the interpolation coefficients to reduce false color artifacts without requiring complex device structure changes.
2Measurement precision
If the spatial filter range is increased to improve interpolation accuracy, then more peripheral pixels are used, but false signal leakage increases due to edge components
Solution Approach 1:
The patent applies different coefficient values to different peripheral pixels based on their individual correlation with the center pixel. This local adaptation allows the system to weigh each peripheral pixel's contribution appropriately, reducing false signal leakage from edge components while maintaining interpolation accuracy.
Solution Approach 2:
The system calculates correlation values as feedback to determine the appropriate coefficients for interpolation. This feedback mechanism allows the spatial filter to adapt to local image characteristics, suppressing false signals while maintaining accuracy in the interpolation process.
3Adaptability or versatility
If different color filters with different spectral sensitivities are arranged in pixel units, then color imaging capability is enhanced, but false signal leakage varies during interpolation due to different sampling positions
Solution Approach 1:
The patent adjusts the interpolation coefficients based on the specific color filter type and its sampling position. By calculating correlation values specific to each color channel and adjusting coefficients accordingly, the system compensates for the varying false signal leakage caused by different spectral sensitivities and sampling positions.
Data Source
AI summary
An image apparatus has signal slicing unit for two-dimensionally slicing a signal from an imaging device; pixel correlation detection unit for detecting correlation between a center pixel of the signal sliced by the signal slicing unit and its peripheral pixels; correction unit for executing a correction processing for each pixel signal sliced on the basis of the degree of correlation; and synchronization unit for extracting each color signal at the center pixel position of the area sliced by using a signal after correction.