Stereoscopic Image Jagging Removal via Edge Data Replacement
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Solution Overview
Problem
Stereoscopic image display devices using the patterned retarder method suffer from jagging artifacts, which result in uneven boundary representation between objects and backgrounds, leading to a step-like or zigzag appearance in 3D images.
Innovation Solution
A method and device that detect left and right edges in left- and right-eye image data, replacing image data on certain lines if the edge count difference exceeds a threshold, to smooth out edges and reduce jagging, utilizing a jagging removal unit within the image processor of the stereoscopic image display device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If the patterned retarder method is used to implement stereoscopic images, then the 3D image can be displayed using polarization glasses, but jagging artifacts occur causing uneven boundary representation
Solution Approach 1:
The patent applies preliminary action by detecting edges in the current frame and predicting their positions in the next frame before the jagging artifact actually occurs. The edge prediction unit calculates where edges should be based on motion vectors and previous frame edge data, then prepares compensation data in advance to prevent the jagging artifact from forming in the first place
Solution Approach 2:
The patent implements preliminary anti-action by proactively generating edge compensation data that counteracts the expected jagging artifact. The edge compensation unit creates corrected edge information based on predicted edge positions and motion vectors, which is then applied to prevent the boundary unevenness from occurring during the 3D image display process
2Manufacturing precision
If edge detection and data replacement is performed to remove jagging, then boundary smoothness is improved, but processing complexity increases
Solution Approach 1:
The patent applies local quality by focusing edge detection and compensation operations only on specific regions where edges are actually present, rather than processing the entire image uniformly. The edge detection unit identifies edge locations, and subsequent processing is applied selectively to these localized regions, reducing overall processing complexity while maintaining edge smoothness
Solution Approach 2:
The patent implements segmentation by dividing the image processing task into distinct functional units: edge detection unit, motion vector generation unit, edge prediction unit, and edge compensation unit. Each unit handles a specific aspect of the jagging removal process, allowing for modular processing that reduces complexity compared to a monolithic approach
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The solution effectively removes jagging artifacts, providing smooth edges in stereoscopic images by analyzing and adjusting edge data, thereby enhancing the visual quality of 3D images displayed using the patterned retarder method.
Implementation Method 1
The left-eye image is converted into left-circularly polarized light by the patterned retarder PR. The right-eye image is converted into right-circularly polarized light by the patterned retarder PR.
Data Source
AI summary
This document relates to a method of removing jagging of a stereoscopic image and a stereoscopic image display device using the same. The method comprises: detecting left edges and right edges by analyzing left-eye image data and right-eye image data; replacing the left-eye image data on a kth line with the left-eye image data on a (k−1)th line in response to a first absolute value of a difference between a number of the left edges on the (k−1)th line and the kth line being equal to or more than a edge number threshold value; and replacing the right-eye image data on the kth line with the right-eye image data on the (k−1)th line in response to a second absolute value of a difference between a number of the right-eye edge data on the (k−1)th line and the kth line being equal to or more than the edge number threshold value.