3D Display Crosstalk Detection via Pixel Difference Analysis
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Solution Overview
Problem
Existing 3D image display technologies suffer from frequent crosstalk issues due to the response speed of display panels, particularly in areas with high gradation of left-eye and right-eye images, making it difficult to identify and address defects during content creation and monitoring, especially in broadcasting.
Innovation Solution
A display apparatus and control method that detect crosstalk areas by calculating pixel value differences between left-eye and right-eye images and using pre-stored response speed data to distinguishably indicate and minimize crosstalk effects, providing a 3D option setup guideline to optimize display settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the response speed of the display panel is increased to reduce crosstalk, then the image quality improves, but the manufacturing cost and technical complexity increase
Solution Approach 1:
The patent applies preliminary action by detecting and marking crosstalk-prone areas before actual 3D content playback. The system pre-processes images to identify regions where crosstalk is likely to occur based on pixel value differences, allowing content creators to adjust these areas in advance rather than requiring the display hardware to perfectly eliminate crosstalk during real-time viewing.
Solution Approach 2:
The patent replaces the mechanical/optical approach of improving display panel response speed with an image processing approach. Instead of relying on faster hardware response to prevent crosstalk, the system uses software-based detection and marking to identify and communicate crosstalk-prone areas to content creators, who can then adjust the content accordingly.
2Reliability
If the gradation of left-eye and right-eye images is increased to improve image quality, then the visual realism improves, but crosstalk frequency increases
Solution Approach 1:
The patent implements feedback by calculating pixel value differences between left-eye and right-eye images to identify areas where crosstalk is likely to occur. The system provides visual feedback by marking these crosstalk-prone areas on the display, allowing content creators to see exactly where crosstalk problems exist and make targeted adjustments to reduce gradation or adjust content in those specific regions.
Solution Approach 2:
The patent applies local quality by treating different regions of the image differently. Instead of uniformly reducing gradation across the entire image, the system identifies specific local areas where crosstalk is problematic and marks only those regions for adjustment, allowing high gradation to be maintained in areas where it is safe and reducing it only where necessary.
3Ease of operation
If crosstalk areas are not indicated during content creation, then the monitoring process is simpler, but it becomes difficult to identify and address crosstalk defects
Solution Approach 1:
The patent uses color changes or visual markers to indicate crosstalk-prone areas. By overlaying distinct visual markers (such as colored overlays or boundary indicators) on regions where crosstalk is detected, the system makes these areas easily visible to content creators during the monitoring process, transforming an invisible quality issue into a clearly visible guide for adjustment.
Data Source
AI summary
A display apparatus is provided, which may includes an image receiver which receives an image, an image processor which separates the received image into a left-eye image and a right-eye image and process the left-eye and right-eye images, an image output unit including a display panel which displays the left-eye and right-eye images alternately, a storage which stores a response speed of the display panel, and a controller which calculates a pixel value difference between the left-eye and right-eye images based on a unit of pixels that constitute the left-eye and right-eye images, detects a crosstalk generating area of the left-eye and right-eye images using the calculated pixel value difference and the response speed of the display panel stored in the storage, and controls so that the detected crosstalk generating area is indicated distinguishably from other areas of the left-eye and right-eye images.