Electronic Display Environmental Adaptation via Time-Based Gamma Control
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Solution Overview
Problem
Displays face challenges in maintaining optimal visual perception across varying viewing environments due to unpredictable and dynamic ambient conditions, which affect brightness, black level, gamma, saturation, hue, and sharpness.
Innovation Solution
The use of location-based and time-based determinations of ambient conditions, in conjunction with stored display data, to dynamically process and adjust image and video signals in real-time, optimizing key display performance parameters such as brightness, black level, gamma, saturation, and hue for optimal rendering.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If display characteristics are fixed for standard viewing conditions, then device complexity is reduced, but visual performance deteriorates under varying environmental conditions
Solution Approach 1:
The display system automatically detects ambient light conditions and adjusts its own characteristics without requiring manual intervention or complex external control systems. The processor monitors environmental sensors and autonomously modifies display parameters such as brightness, gamma, and color temperature to maintain optimal visual performance across varying viewing conditions.
Solution Approach 2:
The display characteristics are made dynamically adjustable rather than fixed. The system continuously adapts display parameters including luminance, gamma correction, and color profile based on real-time environmental conditions, transforming the display from a static device to a dynamically responsive system that maintains visual consistency across different viewing environments.
2Adaptability or versatility
If display characteristics are dynamically adjusted based on environmental conditions, then visual performance is improved, but device complexity increases
Solution Approach 1:
The processor performs multiple functions by integrating environmental sensing, analysis, and display control capabilities into a single processing unit. This multi-functional approach allows the system to detect ambient conditions, interpret lighting data, and adjust display parameters without requiring separate dedicated components for each function, thereby managing complexity while maintaining adaptability.
Solution Approach 2:
The system combines environmental sensing capabilities with display control functions into an integrated solution. By merging the ambient light detection, environmental condition analysis, and display parameter adjustment into a unified control architecture, the system achieves sophisticated environmental adaptation without proportionally increasing overall device complexity.
3Adaptability or versatility
If ambient light sensing is implemented, then adaptability to viewing conditions is improved, but manufacturing cost increases
Solution Approach 1:
The system employs cost-effective ambient light sensors and environmental detection components that provide sufficient functionality without requiring expensive high-precision instrumentation. By selecting affordable sensing elements that meet the operational requirements, the system achieves environmental adaptability while controlling manufacturing costs.
Solution Approach 2:
The system achieves adaptability through software-based parameter adjustments rather than requiring expensive hardware modifications. By changing display parameters such as gamma curves, color temperature, and luminance levels through firmware control, the system obtains environmental adaptability without the need for costly adjustable hardware components.
Data Source
AI summary
The exemplary embodiments herein provide an electronic display with a display controller in electrical connection with the electronic display and adapted to direct the electronic display to operate per nighttime instructions if the present time is between sunrise and sunset, without accepting any input from an ambient light sensor, and direct the electronic display to operate per daytime instructions if the present time is between sunset and sunrise, without accepting any input from an ambient light sensor. The nighttime instructions may include a first setting for gamma while the daytime instructions may include a second setting for gamma. Sunrise and sunset transition periods can be calculated using Artificial Ambient Sensor Data (AAS), with further settings for gamma chosen based on the AAS data.