Defective Pixel Detection in High-Density Displays
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Solution Overview
Problem
High-pixel-density display devices, such as head-mounted displays, face challenges in perceiving pixel defects due to high pixel density, which affects immersion and realism in augmented and virtual reality experiences, and makes it difficult to perform laser repair on defective pixels.
Innovation Solution
A method for operating a display device that includes a matrix of pixels with a sensor portion containing a photoelectric conversion element, where the display is divided into regions for luminance comparison to detect defective pixels, and image data is corrected using a neural network to minimize defect perception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If pixel density is increased to reduce pixel perception and enhance immersion, then image quality and immersion are improved, but difficulty of detecting and measuring pixel defects increases
Solution Approach 1:
The display portion is divided into multiple regions, and each region is further divided into sub-regions for systematic defect detection. This segmentation approach allows comprehensive coverage of high-density pixels while maintaining manageable detection complexity through organized regional inspection
Solution Approach 2:
A sensor portion with photoelectric conversion elements is introduced as an intermediary device to detect light emitted from pixels. This intermediary detection system enables accurate identification of defective pixels in high-density displays without requiring direct visual inspection, overcoming the limitation of human perception at high pixel densities
2Manufacturing precision
If pixel density is increased to enhance realism in AR/VR, then immersion and realism are improved, but ease of repair deteriorates due to difficulty of laser irradiation on defective pixels
Solution Approach 1:
Defective pixels are detected and identified before final product assembly or delivery to users. The detection system scans and maps defective pixel locations in advance, creating a defect database that enables pre-programming of correction algorithms. This preliminary detection allows repair through software correction rather than requiring physical laser repair of individually identifiable defective pixels
Solution Approach 2:
Instead of physically repairing defective pixels through laser irradiation, the invention creates a digital copy or map of defective pixel locations and uses image processing to generate corrected display data. The correction data replicates the intended image appearance while compensating for defective pixel locations, replacing physical repair with digital correction
3Measurement precision
If comprehensive defect detection is performed across entire display, then detection accuracy is improved, but power consumption increases
Solution Approach 1:
The display is divided into multiple regions that are inspected sequentially rather than simultaneously. The sensor portion activates only specific regions at specific times, reducing overall power consumption while maintaining comprehensive defect detection coverage across the entire display area
Solution Approach 2:
Defect detection is performed periodically or at specific intervals rather than continuously. The system can switch between detection mode and normal display mode, activating comprehensive defect detection only when needed (e.g., during initialization, after manufacturing, or at scheduled intervals), thereby reducing power consumption while maintaining detection accuracy
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
The method enables high-quality image display with high pixel density, reduces perceived pixel defects, and operates with low power consumption, enhancing the immersion and realism of AR and VR experiences.
Implementation Method 1
the sensor portion includes a photoelectric conversion element... a luminance of the first light is detected by the photoelectric conversion element
Data Source
AI summary
A display device in which a pixel defect is less likely to be perceived is provided. The display device includes a display portion where pixels are arranged in a matrix, and a sensor portion including a photoelectric conversion element. First, the display portion is divided into a first region and a second region. Next, first light is emitted from the pixel included in the first region, and the luminance of the first light is detected by the photoelectric conversion element. Moreover, second light is emitted from the pixel included in the second region, and the luminance of the second light is detected by the photoelectric conversion element. Then, the luminance of the first light is compared to the luminance of the second light, and on the basis of the comparison result, one of the first region and the second region is divided into a third region and a fourth region. By repeating these operations, a defective pixel is detected. Luminance represented by image data can be corrected on the basis of the detection result of the defective pixel.