HDR Display Brightness Attenuation for Ambient Light Stability
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Solution Overview
Problem
High Dynamic Range (HDR) display devices emit excessive brightness, causing discomfort and disrupting ambient lighting, especially during transitions like commercial breaks or when viewers are not actively engaged, leading to jarring and unappealing viewing experiences.
Innovation Solution
A method and apparatus for on-demand attenuation control in HDR display devices, which includes detecting triggers such as commercial breaks, user input, or lack of viewer attentiveness to adjust brightness levels by generating and displaying images with reduced brightness, either by dimming or displaying composite images with lower brightness in a sub-region of the screen, thereby stabilizing room lighting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If HDR display devices operate at full brightness, then image quality and contrast ratio are improved, but user comfort and ambient lighting stability deteriorate
Solution Approach 1:
The system dynamically adjusts brightness based on real-time detection of user attentiveness and scene content. The processor monitors metadata and sensor inputs to determine when to apply attenuation, transitioning between full HDR brightness and attenuated modes seamlessly to maintain both image quality and user comfort.
Solution Approach 2:
The system changes the brightness parameter conditionally based on detected triggers. When commercial breaks or low-attentiveness scenes are detected, the processor applies attenuation to reduce brightness while maintaining HDR capabilities during appropriate content, thus resolving the contradiction between high brightness and user comfort.
2Illumination intensity
If HDR display devices maintain high brightness during commercial breaks, then image quality is preserved, but ambient lighting stability and user experience deteriorate
Solution Approach 1:
The system uses feedback from metadata analysis and sensor inputs to detect commercial breaks and adjust brightness accordingly. The processor continuously monitors the incoming data stream for trigger conditions and applies attenuation during commercial content while maintaining high brightness during primary content, thus stabilizing ambient lighting.
Solution Approach 2:
The brightness level dynamically transitions between high and attenuated states based on content type detection. The system adapts to different scene requirements by adjusting brightness in real-time, preserving image quality during entertainment content while stabilizing ambient lighting during commercial breaks.
3Illumination intensity
If HDR display devices use high brightness capabilities, then viewing experience quality is improved, but energy consumption and light emission increase
Solution Approach 1:
The system conditionally changes the brightness parameter based on detected triggers such as commercial breaks or low-attentiveness scenarios. By applying attenuation only when necessary while maintaining full HDR brightness during appropriate content, the system optimizes energy consumption without compromising the overall viewing experience quality.
4Reliability
If HDR display devices display bright images during commercial breaks, then image fidelity is maintained, but user comfort and sleep patterns deteriorate
Solution Approach 1:
The system uses feedback from metadata and sensor inputs to detect when commercial content is being displayed and applies attenuation accordingly. This maintains image fidelity during primary content while reducing brightness during commercial breaks to prevent sleep disturbances and maintain user comfort.
Data Source
AI summary
In a method of attenuating image brightness in a high dynamic range (HDR) display device, the method includes: receiving, by a processor, an incoming data stream comprising image data; detecting, by the processor, a trigger for attenuating a brightness level of a first image corresponding to the image data; generating, by the processor, output image data for a second image based on the first image, wherein the second image has a different average brightness level than the first image; and displaying, by the processor, the second image on the HDR display device.