Localized Color Mapping Model for Traffic Light Correction
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Solution Overview
Problem
Existing color correction techniques, such as those using color correction matrices (CCMs) and look-up tables (LUTs), are limited in their ability to address color issues within specific regions of a color space, particularly for bright light sources like traffic lights, and are laborious and costly to implement.
Innovation Solution
The use of color mapping models that define localized regions of an input color space, specifying a mapping relationship between input and output colors, allowing for the adjustment of specific colors and their neighbors to achieve a smooth color correction, while being easier to create and implement than traditional methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color correction matrices (CCMs) or look-up tables (LUTs) are used for color correction, then color adjustment can be performed, but the ability to address color issues within specific regions of color space is limited and implementation is laborious and costly
Solution Approach 1:
The patent divides the color space into multiple localized regions, each with its own color mapping model. This segmentation allows precise correction of specific color issues (e.g., traffic light colors) without affecting other regions, resolving the contradiction by enabling region-specific precision while maintaining overall system manageability through modular regional models.
Solution Approach 2:
The patent applies different color mapping characteristics to different regions of the color space. Each localized region has its own mapping model optimized for that specific area, allowing tailored color correction for different color ranges while avoiding the laborious global adjustment required by traditional CCM/LUT methods.
2Reliability
If traditional color correction methods (CCMs or LUTs) are implemented, then color adjustment is possible, but development time and effort are significant
Solution Approach 1:
The patent pre-defines multiple localized color mapping models covering different regions of the color space before actual color correction is needed. These models are prepared in advance and can be directly applied during image processing, eliminating the time-consuming development and tuning phase associated with traditional CCM/LUT creation while ensuring reliable color correction effectiveness.
Data Source
AI summary
Apparatuses, systems, and techniques for performing color correction are presented. In at least one embodiment, a color mapping model may be identified that maps colors, within a subspace of an input color space localized around a target color, to an adjusted color space and applied to an input image to adjust a value of one or more pixels of the input image that fall within the subspace. In at least one embodiment, a color mapping model may be initialized that maps colors, within a subspace of an input color space localized around a target color, to an adjusted color space. At least one parameter of the color mapping model may be adjusted to reduce an amount of visible artifacts produced by the color mapping model.