Color Perception Model for Wearable Display Consistency
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Wearable mobile devices face challenges in maintaining consistent color perception across varying ambient light conditions due to the human visual system's different responses to light levels, which traditional brightness adjustments fail to address effectively.
Innovation Solution
A color perception model is applied to image data on wearable devices, using sub-models like hue, tone, and brightness models, trained with psychophysical data and implemented as a lookup table, to adjust image data based on ambient light levels, ensuring consistent color perception across different lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If traditional brightness adjustments are applied to maintain visibility in different ambient light conditions, then visibility is improved, but color perception consistency deteriorates
Solution Approach 1:
The patent applies parameter changes by adjusting hue, tone, and brightness parameters based on ambient light levels. A color perception model with sub-models for hue, tone, and brightness is used to modify image data parameters dynamically, ensuring consistent color perception across different lighting conditions while maintaining visibility.
2Use of energy by moving object
If simple brightness adjustment algorithms are used to conserve computational resources, then energy consumption is reduced, but color perception accuracy deteriorates
Solution Approach 1:
The patent segments the color perception adjustment process into three independent sub-models: hue model, tone model, and brightness model. Each sub-model processes specific aspects of color perception separately, allowing for optimized computational resource allocation and energy-efficient processing while maintaining high color perception accuracy through specialized handling of each parameter.
3Manufacturing precision
If complex color perception models are applied to maintain consistent color appearance across light conditions, then color perception consistency is improved, but device complexity increases
Solution Approach 1:
The complex color perception model is segmented into three manageable sub-models (hue, tone, brightness), each handling a specific aspect of color perception. This segmentation reduces processing complexity by breaking down the overall task into smaller, more efficient components while maintaining comprehensive color perception consistency across varying ambient light conditions.
Data Source
AI summary
Systems and methods for improving perceptual consistency of imaging data displayed on a wearable mobile device may include determining ambient light intensity in an operating environment of a mobile device. The systems and methods may include storing image data on the mobile device. The image data number of pixels, and each of the number of pixels includes color characteristics. The systems and methods may include adjusting the color characteristics of the image data based on the intensity level of the light. Adjusting the color characteristics may include applying a color perception model to the image data to generate adjusted image data. The color perception model is configured to adjust hue color characteristics and tone color characteristics of the image data. The systems and methods may include displaying the adjusted image data on a display of the mobile device.