BV3 Pixel Array Detail Feature Rendering via Theoretical Sub-pixel Mapping
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Solution Overview
Problem
Pixel arrays with a BV3 structure struggle to effectively render images with detailed features, such as bright lines on a dark background, bright points, and checkerboards, leading to loss of detailed features during display.
Innovation Solution
An image processing method that determines theoretical pixels corresponding to a displayed image, with each actual pixel corresponding to multiple theoretical pixels, and calculates grayscale data using different rendering modes based on the presence of specified detail features in the pixel area, employing weighted averages and specific mapping techniques for various detail features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a BV3 pixel array structure is used, then the display device can be manufactured with current technology, but detailed features in images are lost during display
Solution Approach 1:
The patent divides each actual pixel into multiple theoretical sub-pixels (e.g., 3 theoretical sub-pixels per actual pixel in a BV3 structure). This segmentation allows the system to process and render detailed features at a finer granularity than the physical pixel structure permits, thereby reducing information loss while maintaining compatibility with existing manufacturing capabilities.
Solution Approach 2:
The patent introduces a theoretical pixel dimension that exists between the input image and the physical display pixels. By mapping multiple theoretical sub-pixels to each actual pixel and using different mapping strategies for different feature types, the system effectively adds a processing dimension that preserves detailed information without requiring changes to the physical pixel structure.
2Productivity
If a single rendering mode is used for all pixels, then the processing is simple and fast, but detailed features are not preserved
Solution Approach 1:
The patent implements dynamic rendering mode selection where the system automatically chooses between different mapping strategies (e.g., average mapping, selective mapping, or identity mapping) based on the local image content characteristics. This dynamic adaptation allows the system to preserve detailed features when necessary while maintaining high processing speeds for regions without detailed features.
Solution Approach 2:
The patent applies different rendering modes to different regions of the image based on their local characteristics. For example, regions containing detailed features use more sophisticated mapping strategies while uniform regions use simpler averaging, thereby optimizing both detail preservation and processing efficiency locally across the image.
3Loss of information
If multiple theoretical pixels are mapped to each actual pixel, then detailed features can be preserved, but the calculation complexity increases
Solution Approach 1:
The patent changes the parameters of the mapping process based on the detected feature type. Different feature types (edges, corners, uniform regions, detailed patterns) trigger different mapping parameter configurations, allowing the system to optimize the balance between detail preservation and calculation complexity for each local region.
Solution Approach 2:
The patent performs preliminary analysis of the image content to identify regions containing detailed features before applying the mapping process. This preliminary detection allows the system to pre-determine which regions require complex mapping and which can use simpler approaches, thereby reducing overall calculation complexity while preserving necessary details.
Data Source
AI summary
The present disclosure provides an image processing method and a display device including rows of actual pixels each including actual sub-pixels, and starting positions of actual sub-pixels in odd-numbered and even-numbered rows are staggered by a distance of half of an actual sub-pixel. The method includes: determining rows of theoretical pixels corresponding to a to-be-displayed image, each theoretical pixel including theoretical sub-pixels, each actual pixel corresponding to at least two theoretical pixels; calculating grayscale data of each actual sub-pixel in a manner of: for a target actual pixel, determining a rendering mode for calculating grayscale data of each actual sub-pixel of the target actual pixel according to whether there is a specified detail feature in a pixel area where target theoretical pixels corresponding to the target actual pixel are located, different rendering modes are employed when there is or there is not a specified detail feature in the pixel area.