Stereoscopic Display System Using AI Depth Map Selection
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Solution Overview
Problem
Current semiconductor devices and display systems lack the capability to efficiently display stereoscopic images with a simplified structure and low power consumption while maintaining a high level of image quality.
Innovation Solution
A semiconductor device and display system incorporating a neural network-based selection unit that selects a suitable depth map for emphasizing stereoscopic effects, utilizing machine learning for obtaining scene and depth information, and a correction unit that processes image data to enhance the stereoscopic effect, with a metal oxide transistor for efficient signal generation and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a neural network-based selection unit is used to select depth maps for stereoscopic effect emphasis, then the stereoscopic effect is enhanced, but the device complexity increases
Solution Approach 1:
The patent introduces a depth map selection unit that acts as an intermediary between the image processing system and the display system. This unit selects appropriate depth maps based on scene analysis without requiring complex modifications to the core display architecture, thereby enhancing stereoscopic effect while controlling overall device complexity
Solution Approach 2:
The patent replaces traditional mechanical or rule-based depth map selection mechanisms with a neural network-based system. The neural network automatically analyzes scene information and selects optimal depth maps, substituting complex mechanical control systems with intelligent software-based solutions that achieve better performance with simpler hardware
2Reliability
If machine learning is used for obtaining scene and depth information, then the stereoscopic effect is enhanced, but the power consumption increases
Solution Approach 1:
The patent applies machine learning selectively only for obtaining scene and depth information when stereoscopic display is required, rather than continuously processing all image data. This partial application of computationally intensive machine learning reduces overall power consumption while maintaining high stereoscopic effect quality when needed
Solution Approach 2:
The patent performs scene analysis and depth information extraction in advance before actual image display. By pre-processing and caching depth information, the system reduces real-time computational requirements and power consumption during active display operations
3Reliability
If a correction unit processes image data to enhance stereoscopic effect, then the stereoscopic effect is enhanced, but the processing time increases
Solution Approach 1:
The correction unit performs image data correction and depth map application in advance before the final display rendering. By pre-processing the image data with stereoscopic corrections, the system minimizes real-time processing delays and maintains high stereoscopic effect quality during actual display
Data Source
AI summary
To provide a semiconductor device or display system. To provide a semiconductor device or display system that can display stereoscopic images. A signal generation unit has a function of, with the use of artificial intelligence, obtaining information on a scene of an image and information on a depth of the image and correcting image data on the basis of the information so that a stereoscopic effect is emphasized. An image signal obtained by the correction of the image data is supplied to a display unit, so that a stereoscopic image can be displayed on a display region.