Color Desaturation Correction for Autonomous Vehicle Imaging
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Solution Overview
Problem
Autonomous vehicles face challenges in rendering accurate and consistent colors from images captured by different image capture devices, leading to visible color differences in rendered images.
Innovation Solution
The system applies color transformation information to raw color values from image capture devices to convert them into a standard color space and then applies desaturation information to generate desaturated color values, ensuring consistent color representation across images from various devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color correction process is applied to adjust raw color values, then color accuracy is improved, but color consistency across different image capture devices deteriorates
Solution Approach 1:
The patent introduces an intermediary standard color space as a mediator between different image capture devices' color spaces. Each device's raw color values are transformed into this common intermediate color space, which then allows for consistent color representation across devices. This intermediary color space acts as a universal reference frame that reconciles the color differences between devices while maintaining individual color accuracy.
Solution Approach 2:
The patent transforms color values by changing the parameter space from device-specific color spaces to a standardized color space. This parameter transformation involves applying color transformation information (such as color correction matrices) to convert raw color values into standardized color values, thereby achieving both color accuracy and cross-device color consistency through parameter standardization.
2Reliability
If multiple image capture devices are used to capture images, then coverage and data redundancy are improved, but visible color differences in rendered images worsen
Solution Approach 1:
The patent establishes a universal color transformation framework that can be applied to multiple image capture devices simultaneously. This framework provides a multi-functional solution that works across different devices with varying color characteristics, enabling consistent color rendering whether one device or multiple devices are used. The standardized color space serves as a universal reference that accommodates diverse input sources.
3Stability of the object's composition
If color transformation is applied to convert raw color values, then color standardization is improved, but processing complexity worsens
Solution Approach 1:
The patent applies color transformation information in advance to convert raw color values from multiple image capture devices into standardized color values before image rendering. This preliminary color standardization ensures that all color data is pre-adjusted to a common reference frame, eliminating the need for complex real-time color matching during rendering and simplifying the overall processing pipeline.
Data Source
AI summary
Systems, apparatus, and methods are presented for rendering color images. One method may include receiving first color values of a first image from a first image capture device. The first color values may represent colors in a first color space. The method also may include applying first color transformation information to the first color values to generate first transformed color values of the first image in a particular color space and applying desaturation information to the first transformed color values to generate first desaturated color values of the first image. Further, the method may include providing the first desaturated color values of the first image for rendering on a display device.