Dynamic Luminance Adjustment for Eye Adaptation Simulation
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Solution Overview
Problem
Image and video applications do not dynamically adjust lighting effects based on real-world scene conditions, resulting in static exposure that does not change with the user's viewing perspective, failing to simulate the human eye's adaptation to varying lighting conditions.
Innovation Solution
A system that includes a processor and display, which captures and processes visual content using image sensors, determines luminance changes within different viewing fields, and applies lighting effects to simulate the adaptation of eyes to changes in lighting conditions by adjusting brightness and tonal ranges based on the differences in luminance between viewing fields.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static exposure is used for image/video display, then device complexity is reduced and ease of operation is improved, but adaptability to different lighting conditions deteriorates and visual realism is reduced
Solution Approach 1:
The system dynamically adjusts the luminance of displayed visual content based on the luminance characteristics of the captured real-world scene. The processor continuously monitors the captured image luminance and modifies the display luminance accordingly, transforming the static display into a dynamic adaptive system that responds to lighting conditions.
Solution Approach 2:
The system changes the luminance parameter of the displayed visual content based on the luminance of the captured scene. By adjusting this critical display parameter in response to input scene characteristics, the system achieves adaptability to different lighting conditions while maintaining ease of operation.
2Adaptability or versatility
If dynamic lighting adjustment is applied to simulate eye adaptation, then adaptability to lighting conditions is improved and visual realism is enhanced, but device complexity increases and processing requirements rise
Solution Approach 1:
The system segments the display into different viewing field regions (first viewing field and second viewing field) and applies different luminance adjustments to each segment based on its corresponding captured scene luminance. This segmentation approach enables localized adaptive lighting without requiring complete system redesign.
Solution Approach 2:
The system creates a simplified computational model that copies the luminance characteristics of the captured real-world scene and applies them to the display output. This copying approach simulates eye adaptation through straightforward luminance mapping rather than complex physiological modeling.
3Measurement precision
If luminance varies as a function of viewing field of view, then visual accuracy is improved and eye adaptation simulation is enhanced, but processing complexity and computational load increase
Solution Approach 1:
The system applies different luminance characteristics to different portions of the visual content corresponding to different viewing fields. Each local region is adjusted according to its specific luminance requirements, achieving high visual accuracy through localized processing rather than uniform global adjustment.
Data Source
AI summary
Capture of visual content by image sensor(s) may define a luminance of the visual content. A viewing field of view may define an extent of the visual content presented on a display. The luminance may vary as a function of a viewing field of view. A user may change the viewing field of view from a first viewing field of view to a second viewing field. A first luminance of the visual content within the first viewing field of view and a second luminance of the visual content within the second viewing field of view may be determined. A lighting effect may be applied to the visual content based on a difference between the first luminance and the second luminance.