Defect Pixel Correction in Radiation Imaging Detectors
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Solution Overview
Problem
Existing radiation imaging systems using flat panel detectors face challenges in accurately correcting defect pixels, especially when they are densely packed, as current methods either fail to recover high-frequency components or are inaccurate due to manufacturing variations and grid relationships.
Innovation Solution
An image processing apparatus with a first correcting unit and a second correcting unit that corrects defect pixel values by using values from surrounding pixel groups, employing autoregressive models for prediction analysis and interpolation to accurately estimate and correct defect pixel values even in densely packed scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If interpolation method is used for defect correction, then the correction process is simple, but high-frequency components cannot be recovered
Solution Approach 1:
The patent changes the correction method from simple interpolation to prediction analysis using autoregressive models. This parameter change in the correction approach enables recovery of high-frequency components while maintaining practical implementability through systematic prediction based on surrounding pixel values.
2Ease of manufacture
If prediction analysis is used assuming 1 pixel width, then the method is simple to implement, but prediction accuracy deteriorates when defect pixels are densely packed
Solution Approach 1:
The patent introduces dynamic adaptability by detecting whether surrounding pixels are normal or defect pixels, and adjusting the correction approach accordingly. When defect pixels are densely packed, the system dynamically switches to using corrected values from previous iterations, maintaining accuracy in varying defect density conditions.
Solution Approach 2:
The patent implements feedback by using corrected values from previously processed defect pixels as input for correcting subsequent defect pixels. This feedback mechanism ensures that prediction accuracy is maintained even when defect pixels are densely packed, as the correction propagates through the defect region systematically.
3Measurement precision
If grid stripe prediction method is used, then defect pixels can be corrected even when densely packed, but prediction accuracy deteriorates if grid relationship breaks due to manufacturing variations
Solution Approach 1:
The patent extracts the correction process from dependency on grid relationships and manufacturing tolerances. By using prediction analysis based solely on pixel value relationships rather than physical grid positions, the method eliminates sensitivity to manufacturing variations and mounting angle deviations.
Solution Approach 2:
The patent creates a universal correction method that works regardless of grid relationships or defect density patterns. The autoregressive prediction model can correct any defect pixel based on surrounding pixel values, making the method universally applicable without requiring specific grid conditions or assumptions about defect distribution.
4Measurement precision
If grid stripe prediction is performed, then the correction works for grid-related defects, but high-frequency components other than grid stripe cannot be restored
Solution Approach 1:
The patent implements a universal prediction analysis method that can restore any high-frequency component, not limited to grid stripes. The autoregressive model captures general signal characteristics and can restore various types of high-frequency information including edges, textures, and other fine details beyond just grid patterns.
Data Source
AI summary
Provided is an imaging processing apparatus including a first correcting unit configured to correct, in a case where a first pixel group continuing to a first defect pixel in an image includes a second defect pixel, a value of the second defect pixel by using values of a second pixel group continuing to the second defect pixel, and a second correcting unit configured to correct a value of the first defect pixel by using values of the first pixel group including a value corrected by the first correcting unit.