Ambient Light Distribution Field Adjustment for Display Screens
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Solution Overview
Problem
Current automatic illumination adjustment methods in electronic devices, such as smartphones, fail to accurately perceive the ambient light environment due to the placement and limited viewing angle of illumination sensors, leading to incomplete background illumination detection and non-uniform light distribution.
Innovation Solution
An output parameter adjustment method that acquires an environmental image, divides it into sub-images, calculates illumination values, matches them with preset illumination models, and adjusts display parameters to match the ambient light distribution, ensuring the display screen's illumination state aligns with the user's viewing angle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If an illumination sensor is used to detect ambient light, then the adjustment process is simple, but the detection accuracy and completeness of background illumination is insufficient
Solution Approach 1:
The patent uses a camera to capture an environmental image that copies the actual background illumination scene, replacing the traditional illumination sensor. This image-based copying approach allows comprehensive detection of the illumination environment including non-uniform distribution, achieving high measurement precision while maintaining reasonable system complexity through software processing.
2Device complexity
If the illumination sensor is placed on the front of the device, then the device structure is simple, but the sensor cannot perceive the background environment from the user's perspective
Solution Approach 1:
Instead of placing the sensor on the front of the device facing the user (traditional approach), the patent inverts the approach by using the camera to capture the background environment from the user's viewing perspective. The environmental image is processed to represent what the user actually sees, thereby obtaining complete background information without complicating the hardware structure.
3Area of stationary object
If a small light receiving surface sensor is used, then the device size is small, but the viewing angle for detecting illumination is very limited
Solution Approach 1:
The patent transitions from a one-dimensional point sensor (illumination sensor with small light receiving surface) to a two-dimensional image-based detection system. By capturing an environmental image with the camera, the system achieves a wide viewing angle that covers the entire background environment visible to the user, while the camera itself remains a compact component.
4Device complexity
If uniform light distribution is assumed, then the calculation process is simple, but the actual non-uniform illumination environment cannot be accurately reflected
Solution Approach 1:
The patent segments the environmental image into multiple regions and calculates illumination values for each region separately. This segmentation approach allows accurate representation of non-uniform illumination distribution by processing different areas independently, while the overall process remains computationally efficient through standardized processing steps for each segment.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method provides a more accurate and comprehensive adjustment of display parameters, enhancing user comfort and visual health by reflecting the true ambient illumination, even in non-uniform environments, and accounting for color sensitivity.
Implementation Method 1
Acquiring an environmental image of a background environment in a viewing angle range of a user
Data Source
AI summary
An output parameter adjustment method employing an ambient light distribution field including: acquiring an environmental image of a background environment in a viewing angle range of a user; dividing the environmental image according to preset partitioning to obtain environmental sub-images; obtaining the illumination value of each environmental sub-image; splicing the illumination of all of environmental sub-images to obtain distributed illumination distribution information corresponding to the environmental image; obtaining a first illumination model corresponding to the illumination distribution information; querying a model-parameter list, to obtain a first adjustment parameter corresponding to the first illumination model; and adjusting, display parameters of a display screen of a user terminal and/or adjusting light compensation output parameters of a lighting compensation device according to the first adjustment parameter so that the display parameter of the display screen match an illumination state of the background environment in the viewing angle range of the user.