Vehicle Camera Saturation Control for Glare and Rainbow Artifacts
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Solution Overview
Problem
Existing image processing systems in vehicles suffer from glare and rainbow artifacts due to the application of polarizing filters, particularly when sunlight interacts with tinted windshields, leading to degraded image quality.
Innovation Solution
An image processing method and system that adjusts image color attributes, specifically saturation, based on sunlight intensity and direction, using sensors and controllers to minimize rainbows and maintain image definition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a polarizing filter is applied to the camera, then glare is reduced, but a rainbow pattern occurs due to interaction with the tinting film
Solution Approach 1:
The patent changes the parameter of light intensity by dynamically adjusting the saturation level of the image based on detected sunlight intensity. When sunlight intensity exceeds a threshold, the system reduces saturation to eliminate rainbow patterns while maintaining glare reduction benefits. This parameter adjustment resolves the contradiction by adapting the image processing based on environmental conditions.
Solution Approach 2:
The patent implements a feedback mechanism where the controller continuously monitors sunlight intensity through sensors and adjusts image saturation accordingly. The system detects when rainbow patterns occur (when sunlight intensity is high) and automatically reduces saturation to eliminate them, creating a closed-loop control that resolves the glare-rainbow contradiction in real-time.
2Object-affected harmful factors
If a polarizing filter is applied to the camera, then glare is reduced, but image definition deteriorates due to saturation reduction
Solution Approach 1:
The patent makes the image processing dynamic by adjusting saturation levels based on real-time sunlight intensity detection. Instead of applying a fixed saturation reduction, the system adapts the processing strength according to environmental conditions, maintaining image definition when possible while eliminating rainbows only when necessary. This dynamic approach resolves the contradiction between glare reduction and image quality preservation.
Solution Approach 2:
The patent changes the saturation parameter conditionally based on sunlight intensity thresholds. When sunlight intensity is below the threshold, normal saturation is maintained to preserve image definition. When the threshold is exceeded, saturation is reduced to eliminate rainbows. This conditional parameter change resolves the contradiction by applying glare reduction and rainbow elimination only when necessary.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Prevents glare and rainbows, ensuring clear and defined images by dynamically adjusting image saturation levels in response to sunlight conditions, thereby enhancing image quality.
Implementation Method 1
the application of the polarizing filter to the camera according to the related art may have an issue of a rainbow occurring due to a tinting film
Implementation Method 2
when light passes through a material having birefringence, for example, a tinting film, a phenomenon may occur in which the light is refracted in two directions
Implementation Method 3
identifying an intensity of light emitted to the vehicle based on an output value of an illuminance sensor of the vehicle
Data Source
AI summary
An image processing method of a vehicle includes identifying an intensity of light emitted to the vehicle based on an output value of an illuminance sensor of the vehicle, obtaining an image through a camera of the vehicle, identifying whether sunlight is backlight for the camera of the vehicle based on at least one of an output value of a sunlight sensor of the vehicle or the image obtained through the camera of the vehicle, and changing a color attribute of the image based on the intensity of the light and the sunlight being the backlight.


