Stereoscopic Image Jagging Removal via Complexity Detection
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Solution Overview
Problem
Stereoscopic image display devices using the patterned retarder method suffer from jagging artifacts, which affect the readability of 3D images, particularly at boundaries between objects and backgrounds, and degrade the display of letters in chat windows.
Innovation Solution
An image processing method that detects edges and complexity in left-eye and right-eye image data, generating signals to apply appropriate algorithms for image conversion, and a stereoscopic image display device with a complexity detector and processor to differentiate between simple and complex images, applying the time division 3D format method accordingly to remove jagging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
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 at boundaries between objects and backgrounds
Solution Approach 1:
The patent applies preliminary action by detecting edges and determining image complexity before the actual 3D image processing. The system analyzes the input image to identify edge regions and calculates complexity metrics, then uses this pre-analyzed information to guide the subsequent jagging removal processing. This allows the system to apply appropriate filtering strength in different regions without trial and error.
Solution Approach 2:
The patent implements local quality by applying different processing strategies to different regions of the image. Specifically, it applies stronger filtering to simple regions with fewer edges while using lighter processing on complex regions with many edges. This region-adaptive approach prevents over-smoothing of important details while effectively removing jagging in appropriate areas.
2Manufacturing precision
If jagging removal processing is applied to improve boundary smoothness, then boundary quality improves, but readability of letters in chat windows deteriorates
Solution Approach 1:
The patent applies local quality by making the jagging removal strength dependent on the local complexity of each image region. Regions with low complexity (such as uniform backgrounds or simple gradients) receive stronger filtering to remove jagging, while regions with high complexity (such as text in chat windows or detailed object boundaries) receive lighter processing to preserve fine details and readability.
Solution Approach 2:
The patent implements parameter changes by dynamically adjusting the filtering parameters based on the calculated complexity metric. The system modifies the filter strength, kernel size, or threshold values according to the local complexity, allowing optimal balancing between jagging removal and detail preservation in different regions of the image.
3Manufacturing precision
If complex image processing algorithms are applied to remove jagging, then jagging artifacts are reduced, but processing time and computational complexity increase
Solution Approach 1:
The patent applies partial action by selectively processing only certain regions of the image rather than applying uniform heavy processing to the entire image. By identifying and focusing computational resources on regions that actually contain jagging artifacts (low complexity regions), the system achieves effective jagging removal while minimizing unnecessary computation in already-complex regions.
Solution Approach 2:
The patent implements segmentation by dividing the image into different regions based on complexity characteristics. The system segments the image into simple regions, complex regions, and edge regions, then applies appropriate processing strategies to each segment. This segmentation allows the use of computationally intensive algorithms only where necessary.
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
Effectively removes jagging artifacts in 3D images, improving the readability of letters in chat windows and enhancing the overall display quality by applying different processing algorithms based on image complexity.
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
A stereoscopic image display device and method of removing jagging of a stereoscopic image. The method comprises: detecting left edges and right edges by analyzing left-eye image data and right-eye image data; detecting a row line as a complicated line if a number of the left edges or the right edges in the row line is equal to or more than a complicated line threshold value, and counting a number of complicated lines; generating a complexity signal having a first logic level if the number of the complicated lines is equal to or more than a complexity detection threshold value; and generating the complexity signal having a second logic level if the number of the complicated lines is less than the complexity detection threshold value.