Stereoscopic Image Processor Text Readability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Stereoscopic image display devices using the patterned retarder method often suffer from poor readability of text areas due to 'jagging' or zigzag artifacts in 3D images, which affect the clarity and visibility of text.
Innovation Solution
An image processing method and device that converts left-eye and right-eye image data into edge data, extracts coordinates corresponding to text areas, and generates averaged conversion data to improve readability, specifically by averaging adjacent image data to reduce jagging effects and enhance text visibility.
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 with polarization characteristics, but the text area readability deteriorates due to jagging artifacts
Solution Approach 1:
The patent applies preliminary action by performing image processing operations (edge detection, text area identification, and data averaging) on the image data before it is displayed. The image processor identifies text areas in advance and applies averaging processing to reduce jagging artifacts, ensuring that text readability is improved before the stereoscopic image is presented to the user.
Solution Approach 2:
The patent implements local quality by applying different processing strategies to different regions of the image. Specifically, the image processor identifies text areas and applies averaging processing only to those regions, while leaving other areas unchanged. This localized approach ensures that text readability is improved without unnecessarily processing the entire image.
2Manufacturing precision
If adjacent image data is averaged to reduce jagging effects, then text readability improves, but the processing complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the image processing task into distinct stages: edge detection to identify boundaries, text area identification based on those boundaries, and selective averaging processing. This segmented approach allows the system to focus computational resources only on text areas, reducing overall processing complexity compared to processing the entire image.
Solution Approach 2:
The patent uses edge data as an intermediary element to facilitate text area identification. The image processor first generates edge data from the original image, then uses this edge data to identify text areas, and finally applies averaging processing. This intermediary step simplifies the overall process by providing a clear criterion for text area detection.
Data Source
AI summary
This embodiments herein relate to an image processing method and a stereoscopic image display device that provide high readability of a text area when implementing both 2D images and 3D images. The embodiments described herein convert the left(right)-eye image data corresponding to the left(right)-eye coordinates into a mean of the left(right)-eye image data corresponding to the left(right)-eye coordinates and the left(right)-eye image data adjacent to thereof on the other line. Therefore, the embodiments described herein may compensate for the left(right)-eye conversion data which are not arranged on a 3D format. As a result, the embodiments described herein may improve readability of the text area in the 3D mode. Also, the embodiments described herein may improve readability on the text area by applying a sharpness filter to the original 2D image corresponding to the 2D coordinates which is detected as the text area in the 2D mode.