Display Camera Exposure Calibration Using Single-Image Blob Patterns
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Solution Overview
Problem
Existing methods for automatic exposure calibration in display systems, such as iterative hill climbing and high dynamic range (HDR), are slow and strain the network due to the need for multiple image captures, leading to inefficiencies.
Innovation Solution
A method and system for calibrating display systems using a single captured image of a test pattern with blobs, calculating an exposure calibration parameter based on the ratio of maximum brightness levels to determine optimal exposure settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If iterative hill climbing method is used for automatic exposure calibration, then exposure accuracy is improved, but calibration time increases and multiple image captures are required
Solution Approach 1:
The patent applies preliminary action by pre-calculating the exposure calibration parameter using a single captured image of a test pattern with known brightness characteristics. Instead of iteratively adjusting exposure and recapturing images, the system performs the calibration calculation in advance based on the relationship between displayed test pattern brightness and captured image brightness, thereby achieving accurate exposure calibration without time-consuming iterative cycles
Solution Approach 2:
The patent replaces the mechanical iterative process of taking multiple pictures and analyzing them sequentially with a computational approach. By substituting the physical iterative capture mechanism with a mathematical calculation based on a single image capture and known test pattern properties, the system achieves the same exposure calibration goal with significantly reduced time and network strain
2Measurement precision
If HDR method is used for automatic exposure calibration, then exposure accuracy is improved, but network strain increases due to multiple image communications
Solution Approach 1:
The patent extracts only the essential information needed for exposure calibration from a single test pattern image, rather than capturing and communicating multiple full-resolution images as required by HDR methods. By extracting the brightness relationship data from one image and using it to calculate the exposure calibration parameter, the system achieves accurate exposure determination while minimizing network communication overhead
Solution Approach 2:
The patent uses a known test pattern with predetermined brightness characteristics as a reference copy against which to measure the captured image. By comparing the captured test pattern against its known original properties, the system can calculate the exposure calibration parameter without needing to capture multiple images or communicate large amounts of data over the network
Data Source
AI summary
A method for calibrating a display system is provided. A test pattern for display is presented. The test pattern includes a plurality of blobs. Using a camera, an image comprising one or more of the plurality of blobs in the presented test pattern is captured. An exposure calibration parameter is calculated using a ratio of a maximum brightness level capable of being read by the camera to a maximum brightness level determined from the captured one or more blobs in the test pattern. The exposure of the camera of the display system is calibrated using the exposure calibration parameter. A display system configured to implement the method is also provided.