Image Edge Smoothing via Periphery Sub-pixel Brightness Adjustment
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Solution Overview
Problem
Color images displayed on devices often exhibit visual flaws such as blurriness, jaggedness, and color-shifts at edges and curves due to varying sub-pixel layouts, which degrade the overall display quality.
Innovation Solution
A method that locks the periphery pixels on a spatial domain, adjusts the brightness parameters of sub-pixels to smooth edges and curves without altering the color parameters, using a low pass filter for smoothing operations, and then unlocks the pixels to restore color information, thereby improving visual resolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If sub-pixel layouts are used in display devices, then color image display capability is improved, but visual flaws such as blurriness, jaggedness and color-shifts occur at edges and curves
Solution Approach 1:
The patent changes the brightness parameters of periphery sub-pixels through a smoothing operation to eliminate visual flaws at edges and curves. By adjusting brightness values in the gray scale domain without modifying color components, the method resolves the contradiction between maintaining color display capability and achieving smooth edge rendering.
2Manufacturing precision
If brightness parameters of periphery sub-pixels are adjusted to smooth edges, then edge smoothness is improved, but color accuracy may be affected
Solution Approach 1:
The patent applies local quality by performing the smoothing operation selectively on periphery sub-pixels at edges and curves, while preserving the color components of interior pixels. The locking mechanism ensures that only brightness parameters are modified in specific regions, maintaining color accuracy while achieving edge smoothness where needed.
Solution Approach 2:
The patent changes only the brightness parameters of periphery sub-pixels through a smoothing operation in the gray scale domain, explicitly preserving color components. This selective parameter modification resolves the contradiction by improving edge smoothness without compromising color accuracy.
3Manufacturing precision
If periphery pixels are locked and brightness parameters are adjusted, then edge smoothing is achieved, but processing complexity increases
Solution Approach 1:
The patent segments the processing into distinct stages: locking periphery pixels, collecting brightness parameters, performing smoothing operation, and unlocking pixels. This segmentation reduces processing complexity by organizing the workflow into manageable steps while achieving edge smoothing效果.
Data Source
AI summary
A method to smooth periphery pixels of an image includes operations. First, an image includes periphery pixels is provided. Each periphery pixel includes periphery sub-pixels. Each periphery sub-pixel includes a location parameter, a brightness parameter and a color parameter. Second, the image which includes the periphery pixels is displayed. Next, the periphery pixels are locked by targeting each periphery sub-pixel of each periphery pixel. The brightness parameter of each periphery sub-pixels is collected to target the periphery sub-pixels. Then, a smoothing operation is carried out to adjust the brightness parameters of the periphery sub-pixels to obtain adjusted brightness parameters. Afterwards, the periphery pixels with the adjusted brightness parameters are unlocked to obtain the image which has at least one smooth edge.