AVM Brightness Correction for Multi-Camera Image Consistency
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Solution Overview
Problem
Existing around view monitoring (AVM) systems face issues with brightness differences between images from multiple cameras, leading to a sense of discomfort and reduced image quality, especially when shadows or obstacles are present, and require adjustments in camera settings when cameras are changed.
Innovation Solution
An AVM apparatus with a brightness correcting unit that calculates and applies corrected brightness values based on average and variance measurements across regions of the around view video, minimizing brightness differences and eliminating the need for adjusting common imaging ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are used to capture videos around the vehicle, then the coverage area is improved, but brightness differences between images from multiple cameras cause discomfort and reduced image quality
Solution Approach 1:
The patent applies brightness correction by calculating average brightness values and variations for each camera image, then adjusting brightness parameters to unify the appearance across all camera feeds. This resolves the contradiction by maintaining the multi-camera coverage while correcting the brightness inconsistencies that degrade image quality perception.
2Manufacturing precision
If brightness correction is applied to each camera image separately, then image quality consistency is improved, but processing time increases
Solution Approach 1:
The system performs preliminary brightness analysis by calculating average brightness and variation metrics for each camera image before composing the final around-view image. This preliminary brightness correction enables faster processing during real-time operation, as the correction parameters are pre-computed and applied efficiently during image composition.
3Manufacturing precision
If camera settings are adjusted to compensate for brightness differences, then image quality consistency is improved, but device complexity increases
Solution Approach 1:
The patent introduces a brightness correction unit as an intermediary component that automatically processes images from multiple cameras. This unit calculates brightness metrics and applies corrections without requiring manual camera adjustments, thereby maintaining image quality consistency while reducing operational complexity. The correction unit acts as a mediator between the raw camera feeds and the final composed image.
Data Source
AI summary
The present invention provides an around view monitoring (AVM) apparatus, including: a plurality of cameras which is mounted on a vehicle; a video composing unit which receives a plurality of videos from the plurality of cameras and composes the plurality of videos to generate an around view video; a brightness correcting unit which receives the around view video and corrects and outputs the brightness of the around view video based on an average brightness value and a variance of the brightness values for every region which is included in the around view video; and a video display unit which displays the around view video whose brightness is corrected.