Display Device Image Rendering Saturation Adjustment
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Solution Overview
Problem
Conventional rendering algorithms for display devices fail to maintain text legibility when the resolution of the input image is higher than the display device, particularly neglecting the saturation of text data which leads to data distortion and loss, especially for chromatic data.
Innovation Solution
A display device and image rendering method that calculate the saturation of pixel data, adjust sub-pixel and direct rendering application ratios based on saturation, and convert pixel data using a weight, optimizing the rendering process to improve legibility by increasing sub-pixel rendering for high-saturation data and direct rendering for low-saturation data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional rendering algorithms are used to convert high-resolution input image to lower display resolution, then the conversion process is simple and fast, but text legibility deteriorates due to data distortion and loss
Solution Approach 1:
The patent applies different rendering algorithms to different regions of the image based on local characteristics. Specifically, it identifies text regions and applies sub-pixel rendering algorithms to those regions while using other algorithms for non-text regions, thereby improving text legibility without unnecessarily complicating the entire rendering process.
Solution Approach 2:
The patent dynamically selects and adjusts rendering algorithms based on the saturation characteristics of pixel data. It calculates saturation values for each pixel and adaptively chooses between different rendering approaches (sub-pixel rendering vs. other algorithms) depending on whether the pixel represents chromatic or achromatic data, optimizing both quality and efficiency.
2Manufacturing precision
If sub-pixel rendering is applied to all pixel data regardless of saturation, then chromatic text legibility improves, but processing complexity increases and achromatic text may suffer from over-processing
Solution Approach 1:
The patent changes the parameter of saturation threshold to determine when to apply sub-pixel rendering. By calculating saturation values and comparing against thresholds, the system dynamically adjusts which pixels receive sub-pixel rendering treatment, thereby managing processing complexity while maintaining chromatic text legibility.
Solution Approach 2:
The patent segments the image processing into distinct stages: saturation calculation, threshold comparison, and conditional algorithm selection. This segmentation allows the system to efficiently determine which pixels need sub-pixel rendering without unnecessarily processing the entire image, reducing overall complexity.
3Productivity
If direct rendering is used for all pixel data, then processing is faster and simpler, but text legibility deteriorates especially for chromatic data
Solution Approach 1:
The patent applies direct rendering to regions where it is most effective (achromatic or low-saturation regions) while applying sub-pixel rendering to chromatic high-saturation regions. This local differentiation maintains processing speed for the majority of pixels while improving text legibility where it matters most.
Solution Approach 2:
The patent applies sub-pixel rendering selectively only to pixels that benefit from it (high-saturation chromatic pixels) rather than to all pixels. This partial application of the more complex algorithm maintains overall processing efficiency while providing the legibility improvement where needed.
Data Source
AI summary
Disclosed is a display device and an image rendering method thereof in consideration of a saturation of a text image that improves the legibility of the text image by, for example, adjusting a sub-pixel rendering application ratio and a direct rendering application ratio for pixel data using a weight in proportion to a saturation.