Adaptive Color Mitigation for Non-Uniform Lenses
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Solution Overview
Problem
Non-uniformities among vehicle camera lenses, such as damage or manufacturing defects, lead to color shifts and hue variations, affecting the harmonization of top-view images and resulting in aesthetically unpleasant composite views during parking or slow-speed maneuvering.
Innovation Solution
A method and system that adjust U-color and V-color thresholds and mitigation correction windows based on a lens's performance score, allowing for lens-specific color correction by altering pixel values within defined thresholds, ensuring more effective color harmonization across images from multiple cameras.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single benchmark color threshold is applied to all lenses, then the harmonization process is simple and fast, but lenses with manufacturing defects or damage cannot be adequately corrected, resulting in poor visual quality
Solution Approach 1:
The patent applies local quality by transitioning from a global benchmark threshold to lens-specific thresholds. Each lens receives individualized color correction parameters based on its own characteristics and performance score, allowing precise correction tailored to each lens's specific non-uniformities while maintaining overall system harmony.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting the color threshold parameters based on each lens's performance score. The system modifies the benchmark U-color and V-color thresholds to create lens-specific altered thresholds, enabling adaptive correction that accounts for variations in lens quality and manufacturing defects.
2Reliability
If lens-specific color correction is applied, then visual quality and aesthetic consistency are improved, but the processing complexity and computational requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-establishing benchmark color thresholds and creating an interpolation model that stores reference data for multiple lenses. This preparatory work allows the system to quickly retrieve and apply appropriate correction parameters during real-time operation, reducing computational complexity while maintaining high correction quality.
Solution Approach 2:
The patent introduces an intermediary element - the interpolation model - that acts as a mediator between the benchmark thresholds and lens-specific corrections. This model smoothly transitions between reference lens characteristics and generates appropriate correction parameters for each lens, simplifying the overall processing complexity while achieving reliable harmonization.
3Measurement precision
If color correction thresholds are adjusted based on lens performance scores, then correction effectiveness is improved for defective lenses, but the system requires additional scoring and interpolation processing
Solution Approach 1:
The patent applies preliminary action by pre-computing performance scores for multiple lenses and storing them in an interpolation model during system setup or calibration. This advance preparation eliminates the need for real-time scoring during image processing, maintaining high measurement precision while preserving processing efficiency during actual operation.
Data Source
AI summary
Systems and methods for altering colors of pixels of images produced by cameras using a lens. A plurality of generated images are received, and color channel values and luminance values of image pixels are determined. Benchmark U-color thresholds and V-color thresholds are established based on the color channels and luminance associated with the pixels. A first image generated using a first lens of a first camera is received. U-color values and V-color values associated with first pixels of the first image are determined. A uniformity score associated with the first lens is received. The benchmark U-color and V-color thresholds are altered based on the uniformity score. The U-color values and V-color values of the first pixels are corrected in response to the U-color values being within the altered U-color thresholds and the V-color values being within the altered V-color thresholds.