Multi-view Image Display Apparatus with Visual Field Divider
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Solution Overview
Problem
Existing autostereoscopic display systems suffer from image quality deterioration due to their optical structure, which affects the clarity of 3D images.
Innovation Solution
A multi-view image display apparatus and method that uses pixel and depth information to generate a clear 3D image by rendering multiple views with different viewpoints, employing a visual field divider and processor to calculate and map mixture pixel values based on the difference between output and visible pixel areas, and applying filtering according to depth information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a visual field divider is used to provide different viewpoints in autostereoscopic display, then 3D viewing capability is improved, but image quality deteriorates due to pixel jagging and optical structure limitations
Solution Approach 1:
The patent applies preliminary action by pre-calculating mixture pixel values before display output. The processor computes weighted combinations of pixels from different viewpoints in advance, creating a multi-view image that compensates for the optical distortions that will occur. This preprocessing step ensures that when the visual field divider separates the views, the image quality is maintained despite the optical structure's limitations.
Solution Approach 2:
The patent changes parameters by adjusting pixel values through weighted mixing based on depth information. Different pixel parameters (brightness, color) from multiple viewpoints are combined using depth-dependent weights, transforming the original single-view pixels into multi-view mixture pixels that will render clearly after passing through the visual field divider's optical structure.
2Manufacturing precision
If multiple views are rendered based on depth information, then 3D image clarity is improved, but computational complexity increases
Solution Approach 1:
The patent applies local quality by processing different regions of the image with different weighting schemes based on their depth values. Objects at different depths receive different mixing weights from adjacent viewpoints, allowing the system to optimize 3D clarity locally for each depth layer rather than applying a uniform complex processing algorithm to the entire image.
Solution Approach 2:
The patent uses partial action by selectively mixing pixels from a limited number of adjacent viewpoints (typically one or two on each side) rather than processing all possible viewpoints. This partial mixing approach provides sufficient 3D clarity improvement while keeping computational complexity manageable by avoiding excessive processing of all potential view angles.
3Manufacturing precision
If mixture pixel values are calculated by weighting pixels from multiple viewpoints, then image quality is improved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by performing the computationally intensive pixel mixing operation during the image generation phase before display output. The mixture pixel values are calculated in advance based on depth maps and viewpoint geometry, storing the results in a pre-processed multi-view image buffer. This eliminates the need for real-time computation during display refresh, reducing perceived processing time while maintaining high image quality.
Data Source
AI summary
A multi-view image display apparatus including: an image receiver; a display including: a display panel; and a visual field divider disposed in front of a viewing surface of the display panel and configured to provide different viewpoints at which an image is viewed in a viewing zone; and a processor configured to: render a plurality of views of the image having different viewpoints based on a depth of the image, generate a multi-view image, and control the display panel to display the multi-view image. The processor is further configured to map a mixture pixel value to a target area of the multi-view image, the mixture pixel value being generated based on pixel values of a first viewpoint and a second viewpoint, and the target area being calculated based on a difference between an output pixel area of the display panel and a corresponding visible pixel area in the viewing zone.


