3D Image Brightness Expansion Using Parallax-Based Coefficients
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Solution Overview
Problem
Existing image display devices fail to effectively perform brightness expanding processing on image data for the right and left eyes while considering the parallax between them, which is crucial for expressing three-dimensional images effectively.
Innovation Solution
An image display device is configured with a feature value calculating section that calculates image feature values related to brightness using parallax, an expanding coefficient calculating section that determines an expanding coefficient based on these feature values, and a brightness expanding processing section that performs brightness expanding processing on the image data for the right and left eyes, ensuring that the parallax is reflected in the processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If brightness expanding processing is performed on image data for the right eye and the left eye without considering parallax, then the processing can be executed simply and quickly, but the parallax between the image data is not reflected, degrading the three-dimensional image quality
Solution Approach 1:
The image data is divided into multiple reference regions, and parallax values are calculated for each region separately. This segmentation allows the system to process different regions with appropriate parallax consideration while maintaining overall processing efficiency. The feature value calculating section calculates image feature values for each reference region, enabling localized brightness expanding processing that reflects parallax without requiring complete reprocessing of entire images.
Solution Approach 2:
The system calculates parallax values as specific parameters for each reference region and uses these parameters to guide the brightness expanding processing. By changing from uniform processing to parameter-based processing, the system can adapt the brightness expansion to reflect local parallax characteristics, improving three-dimensional image quality while maintaining processing efficiency through selective application.
2Manufacturing precision
If brightness expanding processing considers parallax by calculating feature values for each reference region, then the three-dimensional image quality is improved, but the processing complexity and calculation load increase
Solution Approach 1:
The image is divided into reference regions, but the system uses standardized procedures for calculating feature values and parallax for each region. This segmentation approach improves three-dimensional image quality by allowing region-specific processing while controlling complexity through systematic and reusable calculation methods for each segment.
Solution Approach 2:
The feature value calculating section acts as an intermediary that computes parallax values based on reference region data, which then feeds into the brightness expanding processing. This intermediary layer simplifies the overall system architecture by separating the complex parallax calculation from the brightness expansion operation, making each module more manageable and easier to implement.
3Productivity
If the expanding coefficient is calculated without using parallax information, then the calculation is simpler and faster, but the brightness expanding processing does not effectively reflect the parallax between left and right eye image data
Solution Approach 1:
The system performs preliminary calculations of image feature values and parallax for each reference region before determining the expanding coefficient. This preliminary action prepares the necessary data in advance, allowing the expanding coefficient calculation to incorporate parallax information accurately without significantly increasing the overall processing time, as the complex calculations are completed beforehand.
Solution Approach 2:
The expanding coefficient is calculated as a function of parallax values and image feature values, transforming it from a simple uniform parameter to a region-specific parameter that reflects local three-dimensional characteristics. This parameter change enables the brightness expanding processing to adapt to different regions' parallax properties, improving accuracy while maintaining reasonable calculation speed through efficient parameter relationships.
Data Source
AI summary
An image display device includes: a feature value calculating section which calculates an image feature value related to the brightness of image data using parallax between image data for a right eye and image data for a left eye which form 3D image data; an expanding coefficient calculating section which calculates an expanding coefficient, which is related to brightness expand processing, on the basis of the image feature value; a brightness expanding processing section which performs brightness expanding processing on the image data for the right eye and the image data for the left eye on the basis of the expanding coefficient; and an image display section which displays an image on the basis of the image data for the right eye and the image data for the left eye subjected to the brightness expanding processing.