Parallel Dewarping Map Generation for Wide Angle Image ROI Processing
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Solution Overview
Problem
Wide angle images from fisheye cameras often include distorted regions, and existing image processing methods require re-processing of entire images when regions of interest (ROIs) are changed, leading to inefficient resource utilization and suboptimal performance.
Innovation Solution
A method and apparatus that allow for parallel processing of wide angle images, enabling users to select, add, or delete ROIs without re-processing all regions, using a dynamic user interface and dewarping maps to correct distortions in selected areas, thereby optimizing resource usage and improving image processing performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If entire images are re-processed when ROIs are changed, then image processing completeness is maintained, but processing time and resource consumption increase
Solution Approach 1:
The patent divides the image into multiple regions of interest (ROIs) that can be processed independently. When a user selects or modifies a specific ROI, only that region undergoes re-processing while other pre-processed regions are retained. This segmentation approach maintains processing completeness for the affected area while avoiding unnecessary re-processing of the entire image, thus reducing time loss.
Solution Approach 2:
The patent extracts and processes only the selected ROI from the larger image context. By separating the processing task from the complete image and applying it only to the necessary region, the system maintains the required processing completeness for the user's specific needs while significantly reducing overall processing time and resource consumption.
2Manufacturing precision
If entire images are re-processed when ROIs are changed, then processing accuracy is maintained, but computational resources are wasted
Solution Approach 1:
The patent segments the image into distinct ROIs and maintains processing accuracy by re-processing only the selected region rather than the entire image. This ensures that accuracy requirements are met for the user's specific interest area while conserving computational resources by avoiding redundant processing of already-processed regions.
Solution Approach 2:
The patent applies partial action by processing only the necessary portion (selected ROI) rather than the complete image. This partial processing approach maintains sufficient accuracy for the user's specific needs while significantly reducing computational resource consumption compared to full image re-processing.
3Stability of the object's composition
If a static user interface with fixed APIs is used, then system stability is maintained, but adaptability to user needs is limited
Solution Approach 1:
The patent implements a dynamic user interface that allows users to freely select, add, modify, and delete ROIs based on their immediate needs. This dynamic approach maintains system stability through a structured processing framework while significantly enhancing adaptability by enabling flexible interaction with the image processing system according to varying user requirements.
Data Source
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Figure 3A~3B
AI summary
A method of processing a wide angle image including receiving an original image captured by a wide angle camera, receiving a user input selecting a plurality of regions of interest (ROIs) from the original image, generating in parallel a plurality of dewarping maps corresponding to the plurality of ROIs, and rendering in parallel a plurality of corrected images by correcting distortion of the plurality of ROIs based on the plurality of dewarping maps. Apparatus for carrying out the processing method also is disclosed.