Pixel Value Correction Pipeline for Crosstalk and Defective Pixels
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Solution Overview
Problem
Existing methods for correcting defective pixels in image data, such as U.S. Patent Application Publication No. 2007/0030365, suffer from insufficient accuracy in correcting pixel values, particularly when crosstalk and nonlinearity issues are present.
Innovation Solution
An information processing device and method that includes multiple storage units and arithmetic operation units to correct pixel values by first addressing crosstalk through convolution operations with correction array data, followed by detecting and correcting abnormal pixels using average or median values of surrounding pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If simple average replacement method is used for defective pixel correction, then correction process is simple, but correction accuracy is insufficient
Solution Approach 1:
The correction process is divided into multiple sequential stages: first performing crosstalk correction using convolution operations, then conducting nonlinearity correction, and finally replacing defective pixels. This segmentation allows each correction aspect to be handled separately with appropriate methods, improving overall accuracy while maintaining operational clarity.
Solution Approach 2:
The patent performs crosstalk correction and nonlinearity correction before defective pixel replacement. By preliminarily correcting the image data for crosstalk and nonlinearity effects, the subsequent defective pixel correction operates on already-improved data, enhancing the final correction accuracy.
2Measurement precision
If crosstalk and nonlinearity corrections are performed before defective pixel correction, then correction accuracy is improved, but processing complexity increases
Solution Approach 1:
The patent combines crosstalk correction, nonlinearity correction, and defective pixel correction into a single integrated processing pipeline. By merging these correction operations sequentially, the system achieves comprehensive correction accuracy while managing complexity through a unified multi-stage approach rather than separate independent processes.
Solution Approach 2:
The correction system is designed to perform multiple correction functions (crosstalk correction, nonlinearity correction, and defective pixel correction) within a single processing framework. This multi-functionality allows the system to address various image quality issues in one unified process, improving accuracy without proportionally increasing complexity.
3Measurement precision
If multiple correction stages are implemented, then correction accuracy is improved, but processing time increases
Solution Approach 1:
The patent implements continuous processing where crosstalk correction, nonlinearity correction, and defective pixel correction are performed in an unbroken sequence without intermediate interruptions. This continuity ensures that each correction stage builds upon the previous one, maintaining accuracy improvements while minimizing idle time between operations.
Data Source
AI summary
An information processing device includes a first storage unit storing first array data based on a pixel value output from each pixel, a second storage unit storing second array data including a plurality of coefficients used for correcting the pixel value, a first arithmetic operation unit correcting a pixel value of a first target pixel in the first array data, based on the pixel value of the first target pixel, a pixel value of a second target pixel adjacent to the first target pixel in the first array data, and the second array data, a third storage unit storing third array data based on the pixel value output from the first arithmetic operation unit, a second arithmetic operation unit detecting a third target pixel from the third array data, and a third arithmetic operation unit correcting a pixel value of the third target pixel based on the third array data.