Geometric Correction Engine Error Handling for Artifact Concealment
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Solution Overview
Problem
Existing geometric correction engines (GCEs) in cameras with wide angle lenses fail to provide graceful error handling and artifact concealment, leading to distorted images due to issues like limited memory, precision errors, and aggressive parameter settings, especially in real-time applications.
Innovation Solution
The GCE is designed to detect run-time errors and report them to a user-supplied control program, while also concealing artifacts by approximating missing pixel data with neighboring data and allowing for real-time parameter adjustments to prevent future errors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the GCE processes images in real-time with aggressive parameter settings to maintain high processing speed, then productivity is improved, but run-time errors occur due to limited memory and precision constraints
Solution Approach 1:
The system performs preliminary error detection and handling setup before image processing occurs. Configuration parameters are validated in advance, and error handling routines are pre-established to intercept and manage run-time errors before they can corrupt the real-time processing output, thus maintaining both speed and reliability.
Solution Approach 2:
The system implements feedback mechanisms that monitor processing parameters and memory usage in real-time. When potential errors are detected (such as memory boundary violations or precision thresholds being exceeded), the system provides feedback to adjust parameters or halt processing, preventing errors while maintaining high processing throughput.
2Device complexity
If the GCE uses limited internal storage for mesh LUT and input frame blocks to reduce memory footprint, then device complexity is reduced, but run-time errors occur when block sizes exceed allocated storage
Solution Approach 1:
The system dynamically adjusts the allocation of internal storage for mesh LUT and input frame blocks based on the actual processing requirements. Rather than using fixed aggressive parameter settings, the memory allocation adapts to the image dimensions and processing parameters, preventing overflow errors while maintaining efficient memory usage and reduced complexity.
Solution Approach 2:
The system replaces rigid fixed-size memory allocation with a more flexible error detection and handling mechanism. When block size limits are approached, the system substitutes the mechanical constraint with software-based error detection and parameter adjustment, allowing the hardware to operate at full speed while preventing storage overflow through intelligent control.
3Productivity
If the GCE applies aggressive parameter settings to optimize processing performance, then productivity is improved, but manufacturing precision and measurement precision are compromised due to precision errors
Solution Approach 1:
The system dynamically changes processing parameters based on detected precision thresholds. When aggressive parameters cause precision errors beyond acceptable ranges, the system automatically adjusts parameters (such as reducing block sizes or changing interpolation methods) to maintain geometric correction accuracy while preserving high processing throughput.
Solution Approach 2:
The system implements feedback loops that continuously monitor the precision of geometric correction results. When precision errors are detected (such as distortion artifacts or coordinate mapping errors), the system provides feedback to adjust parameters and maintain both high productivity and manufacturing precision requirements.
Data Source
AI summary
A method for error handling in a geometric correction engine (GCE) is provided that includes receiving configuration parameters by the GCE, generating, by the GCE in accordance with the configuration parameters, output blocks of an output frame based on corresponding blocks of an input frame, detecting, by the GCE, a run-time error during the generating, and reporting, by the GCE, an event corresponding to the run-time error.