Image Distortion Correction via Distance Authentication Template
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Solution Overview
Problem
Current image processing systems face challenges in efficiently handling images with linear and non-linear distortions, which can lead to inaccurate feature recognition and increased computational complexity.
Innovation Solution
The method involves generating a distance authentication template by mapping spatial coordinates of features in a distortion-free image to pixel coordinates, allowing for the detection and remediation of non-linear distortions in subject images, enabling accurate feature identification and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If linear transformation procedures are used to process images with linear distortions, then the system can accommodate skewed pages, but the processing becomes computationally laborious, expensive, and slow
Solution Approach 1:
The patent pre-calculates and stores transformation parameters for common distortion types (skew, rotation, perspective) in lookup tables. When processing an image, the system quickly identifies the distortion type and retrieves pre-computed correction parameters, avoiding real-time complex calculations. This preliminary preparation significantly reduces computational burden during actual image processing while maintaining the ability to correct various linear distortions
2Adaptability or versatility
If procedures are used to process images having non-linear distortions, then the system can attempt to handle wrinkled pages, but the processing becomes even more computationally laborious, expensive, slow, and ineffective
Solution Approach 1:
The patent divides the image processing task into multiple stages: first identifying the distortion type (linear or non-linear), then selecting appropriate correction methods for each segment. For non-linear distortions, the image is divided into smaller regions that can be corrected using localized transformation parameters. This segmentation approach prevents the need to apply computationally intensive global non-linear correction to the entire image, thereby improving processing speed while maintaining effectiveness
Solution Approach 2:
The system dynamically adjusts processing parameters based on the detected distortion characteristics. For mild non-linear distortions, simplified correction parameters are used; for severe distortions, more sophisticated parameters are applied. This adaptive parameter selection allows the system to handle non-linear distortions effectively while avoiding unnecessary computational overhead for cases requiring less intensive processing
Data Source
AI summary
In one exemplary embodiment in accordance with the disclosure, an image processing system is configured to use a distance authentication template to execute a detection procedure that detects at least one non-linear distortion in a subject image. The distance authentication template can be generated by mapping a set of spatial coordinates of three features in a distortion-free image to a set of pixel coordinates of the three features in the distortion-free image. Addressing a non-linear distortion in the subject image can include performing remedial actions to remedy the non-linear distortion, or taking into consideration the non-linear distortion when using the distance authentication template to identify one or more features in the subject image.