TV Tone Mapping Using Ambient Light Graph Neural Networks
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Solution Overview
Problem
The immersive experience of watching television is influenced by ambient lighting conditions, with media content favorably viewed in one environment often not being favorable in another due to inconsistent display tone mapping.
Innovation Solution
A system that adjusts display tone mapping based on ambient light measurements from devices in the same environment using a spatially aware graph neural network, applying color correction to enhance viewing experience across varying lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the television displays media content with fixed tone mapping, then the display output remains consistent and simple to implement, but the viewing experience deteriorates in different ambient lighting conditions
Solution Approach 1:
The tone mapping function is made dynamic by continuously adjusting it based on ambient light sensor measurements. The system transitions from a fixed display output to a dynamically adaptive one that responds to changing environmental lighting conditions, thereby improving viewing experience adaptability without requiring complex manual intervention
Solution Approach 2:
The system implements a feedback loop where ambient light sensors continuously measure the viewing environment's lighting conditions, and this information is fed back to the tone mapping module which adjusts the display output accordingly. This closed-loop control enables the television to automatically adapt to different ambient lighting conditions while maintaining manageable system complexity through automated control
2Adaptability or versatility
If the television increases light levels in brightly lit rooms, then the viewing experience improves by matching ambient light, but energy consumption increases
Solution Approach 1:
The system changes the display's luminance parameter dynamically based on ambient light measurements. In brightly lit environments, the television increases its light output to match the ambient conditions and improve visibility, while in dim environments it reduces output. This parameter adjustment is driven by environmental sensing rather than fixed settings, achieving environmental adaptation while managing energy consumption through condition-based control
3Loss of energy
If the television reduces light output in dimly lit rooms, then energy consumption decreases and viewer comfort improves, but the viewing experience deteriorates in brightly lit environments
Solution Approach 1:
The display's luminance parameter is dynamically adjusted based on ambient light conditions. In dimly lit rooms, the system reduces light output to conserve energy and improve viewer comfort by avoiding excessive brightness contrast. Simultaneously, in brightly lit environments, the system increases output to maintain visible contrast and viewing quality. This dynamic parameter adjustment ensures cross-environment consistency in viewing experience while optimizing energy usage
Data Source
AI summary
According to an aspect, a method may include receiving, by a display device, ambient light measurement data from ambient light measurement devices. The method may include calculating distance measurements indicative of a measured distance between the ambient light measurement devices. The method may include generating a light measurement graph based on the ambient light measurement data and the distance measurements. The method may include generating a raw tone mapping function based on the light measurement graph, the generating using a spatially aware graph neural network. The method may include applying the raw tone mapping function to media content to generate a color corrected version of the media content. The method may include displaying on a display of the display device the color corrected version of the media content.