Stereoscopic Image Depth Modulation for Viewer Fatigue Reduction
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Solution Overview
Problem
Viewers experience fatigue, nausea, or headache when viewing stereoscopic 3D images due to mismatched convergence and accommodation distances, particularly in displays where the focal distance of the eyes does not coincide with the image distance, leading to discomfort especially during moving images with large convergence angles.
Innovation Solution
An image data processing method that extracts a depth map from input images, separates the image into foreground and background areas based on grayscale values, and modulates the maximum depth value to reduce the difference between these areas, aligning the display position with the viewer's focal position and increasing the depth value difference between foreground and background, thereby reducing viewer fatigue.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If stereoscopic 3D images are displayed with large convergence angles to enhance depth effect, then the stereoscopic effect is improved, but viewer fatigue and discomfort increase
Solution Approach 1:
The patent applies parameter changes by adjusting the convergence angle and depth values of the stereoscopic image. Specifically, it modulates the maximum depth value to be smaller and increases the difference between depth values of foreground and background areas, thereby optimizing the balance between depth effect and viewer comfort without requiring physical hardware modifications
Solution Approach 2:
The patent implements dynamics by adaptively adjusting depth parameters based on scene characteristics. It separates the image into foreground and background areas and applies different depth modulation strategies to each region, allowing the system to dynamically optimize the stereoscopic effect for different parts of the image while maintaining overall viewer comfort
2Manufacturing precision
If the maximum depth value is increased to enhance stereoscopic effect, then depth perception is improved, but the difference between focal distance and image distance increases causing viewer discomfort
Solution Approach 1:
The patent transforms the depth parameter distribution by modulating the maximum depth value to be smaller while simultaneously increasing the difference between depth values of foreground and background areas. This parameter transformation maintains depth perception effectiveness while reducing the mismatch between focal distance and image distance, thereby improving viewer comfort
3Device complexity
If depth values of foreground and background areas are made similar to simplify processing, then processing complexity is reduced, but the sense of depth is lost
Solution Approach 1:
The patent applies local quality by treating foreground and background areas differently in the depth modulation process. It separates the image into distinct regions and applies specific depth value adjustments to each region, creating enhanced depth differentiation between foreground and background while maintaining a relatively simple overall processing framework
Data Source
AI summary
An image data processing method comprises: extracting a depth map from an input image; separating the input image into a foreground area and a background area based on grayscales of the depth map; and modulating the maximum depth value of the input image to become smaller and the difference between depth values of a gray grayscale segment of the depth map to be greater than the difference between depth values of the foreground area and background area of the input image.