Image Processor Visibility Correction for Car Navigation
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Solution Overview
Problem
Conventional image display apparatuses in car navigation systems struggle to ensure visibility under direct sunlight, as they prioritize color tone over visibility, leading to incongruities in image correction, particularly when displaying critical information like pedestrian or obstacle detection from in-vehicle cameras.
Innovation Solution
An image processor that adjusts correction levels based on illuminance and the type of input image, using specific correction parameters for each image source, such as in-vehicle cameras, navigation data, or DVDs, to prioritize visibility over color tone, ensuring clear display even in direct sunlight.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If stronger correction is performed to ensure visibility under direct sunlight, then visibility of the display image is improved, but color tone incongruity increases compared to the original image
Solution Approach 1:
The patent applies different correction levels to different image types (navigation images receive stronger correction, camera images receive moderate correction). This local differentiation allows visibility optimization for critical images while preserving color tone consistency for others, resolving the contradiction between visibility and color tone consistency.
Solution Approach 2:
The system dynamically adjusts correction parameters based on the detected image type and illuminance conditions. The correction level is not fixed but adapts in real-time, allowing stronger correction when visibility is critical and moderate correction when color tone consistency is prioritized.
2Manufacturing precision
If moderate correction is performed to avoid color tone incongruity, then color tone consistency is maintained, but visibility of the display image deteriorates under direct sunlight
Solution Approach 1:
The patent identifies critical images (navigation images requiring pedestrian or obstacle detection) and applies stronger correction specifically to those, while maintaining moderate correction for other image types. This localized approach ensures visibility where it matters most without unnecessarily degrading color tone consistency across all images.
Solution Approach 2:
The system segments image processing into different correction paths based on image type classification. By dividing the processing workflow into type-specific paths, the system can optimize visibility for critical navigation images while preserving color tone consistency for other displays.
3Device complexity
If uniform correction is applied to all image types, then processing simplicity is maintained, but visibility cannot be ensured for critical images requiring safety confirmation
Solution Approach 1:
The patent introduces image type detection and classification to identify critical images requiring enhanced visibility. By localizing stronger correction to only those critical images (navigation images), the system maintains simplicity for non-critical images while ensuring reliability for safety-critical displays.
Solution Approach 2:
The system performs preliminary image type classification before applying correction. This preliminary action allows the system to pre-determine which images require stronger correction, enabling targeted visibility enhancement for critical images without unnecessarily complicating the processing of all images.
Data Source
AI summary
An image processor receives information of a type of an input image, and performs a correction to the input image in accordance with an illuminance in an area near a display that displays the input image and the received information of the type of the input image.