Rearview Image Distortion Correction With Low-Latency Frame Sync
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Solution Overview
Problem
The use of wide-angle or fisheye cameras in streaming media rearview mirrors results in image distortion, which requires correction, and the need for caching multiple frames increases latency and memory usage, thereby increasing costs and reducing reaction time for drivers.
Innovation Solution
An image distortion correction system with an image data acquirer, corrector, display follower, and memory, utilizing line-field synchronization and adaptive image correction to minimize latency and memory usage, including cropping, interpolation, and synchronization signal generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple frames of image data are cached for correction operation, then image correction quality is improved, but latency from image input to output is increased
Solution Approach 1:
The patent performs preliminary actions by pre-calculating distortion correction parameters and preparing correction maps before actual image processing. The system pre-establishes the relationship between camera viewing angle and display viewing angle, and pre-computes the distortion correction transformation matrices, so that when images need to be corrected, the correction parameters are already ready, reducing actual processing latency while maintaining correction quality.
2Manufacturing precision
If multiple frames of image data are cached, then image correction is performed, but memory requirement is increased
Solution Approach 1:
The patent extracts only the essential distortion correction information from multiple frame data without needing to cache all frames in memory. By using parameter-based correction methods, the system extracts key distortion characteristics and stores only correction parameters rather than entire frame buffers, significantly reducing memory requirements while maintaining correction capability.
3Area of stationary object
If wide-angle or fisheye camera is used to widen viewing angle, then viewing angle is improved, but image distortion is increased
Solution Approach 1:
The patent applies parameter changes by establishing transformation relationships between different viewing angles and distortion levels. The system dynamically adjusts correction parameters based on the camera's field of view, using configurable distortion correction models that adapt to different wide-angle camera specifications. This allows the system to maintain accurate geometric relationships across the entire wide viewing angle by continuously adjusting correction parameters rather than using fixed correction methods.
Data Source
AI summary
An image distortion correction system includes an image data acquirer configured to receive image data from a camera, crop an image of the image data according to cropping control information generated by an image corrector, and stores the image data of the cropped image into a memory; the image corrector configured to retrieve the image data of the cropped image from the memory, correct the cropped image, and send the image data of the corrected image to a display driver for display; a display follower configured to generate a display line-field synchronization signal and send the display line-field synchronization signal to the display driver; the display driver; and the memory.