Scene-Adaptive Stereoscopic Imaging for Blur and Depth Range
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Solution Overview
Problem
Current 3D image content suffers from image edge blurring and limited depth perception range, hindering the full utilization of stereoscopic display capabilities.
Innovation Solution
A stereoscopic image generation method that determines projection parameters based on scene type, projects pixels to stereoscopic coordinates, and generates side-by-side left-eye and right-eye images to enhance depth perception and image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional 3D content generation methods are used, then stereoscopic display capability is enabled, but image edge blurring occurs and depth perception range is limited
Solution Approach 1:
The patent applies dynamics by making the projection parameter adjustable based on scene type. Instead of using a fixed projection parameter, the system dynamically selects different projection parameters according to the recognized scene type (e.g., close-up, medium shot, wide shot), allowing the depth perception range to adapt to different viewing scenarios and eliminating the limitation of fixed depth ranges
Solution Approach 2:
The patent implements parameter changes by modifying the projection parameter based on scene type recognition. The system changes the projection parameter values according to the specific scene characteristics, which directly addresses the image edge blurring issue by optimizing the projection settings for different scene types, thereby improving image quality while maintaining accurate depth perception
2Device complexity
If fixed projection parameters are used, then processing simplicity is maintained, but depth perception range becomes limited
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple projection parameters corresponding to different scene types. The system performs scene type recognition first, then selects the appropriate pre-prepared projection parameter, avoiding the need for complex real-time calculations while still achieving adaptive depth perception across various viewing scenarios
Solution Approach 2:
The system changes projection parameters based on recognized scene types, transitioning from fixed to variable parameters. This approach maintains processing simplicity through automated scene-based selection while significantly improving adaptability, allowing the same system to handle close-up, medium shot, and wide shot scenarios with appropriate depth perception ranges for each
3Adaptability or versatility
If generic 3D generation technology is applied, then 3D content can be created from monocular images, but image edge blurring is prone to occur
Solution Approach 1:
The patent applies local quality by treating different regions of the image differently based on scene type. The system recognizes the overall scene type and applies the appropriate projection parameter that is optimized for that specific scene characteristics, ensuring that edge regions and depth regions are processed with the most suitable parameters for that scene, thereby reducing edge blurring while maintaining 3D generation capability
Solution Approach 2:
The system changes projection parameters according to scene type to improve image quality. By selecting different projection parameters for different scene types (close-up, medium shot, wide shot), the system optimizes the 3D generation process for each scenario, reducing the edge blurring problem that occurs with generic parameters while preserving the ability to generate 3D content from monocular images
Data Source
AI summary
A stereoscopic image display system and a stereoscopic image generation method thereof are disclosed. The method includes the following steps. An input frame and depth information of the input frame are obtained. A scene type of the input frame is recognized. A projection parameter of a camera projection processing is determined according to the scene type of the input frame. A plurality of pixels in the input frame are projected to a stereoscopic coordinate system to obtain a plurality of scene stereoscopic coordinates in the stereoscopic coordinate system according to the projection parameter and the depth information. A side-by-side image including a left-eye image and a right-eye image is generated according to the plurality of scene stereoscopic coordinates.