Virtual Algorithm Subpixel Simulation for Display Resolution
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Solution Overview
Problem
Existing virtual algorithms for image processing face issues such as color aliasing and sawtooth shapes at image edges, requiring continuous optimization and a stable evaluation system to assess their effectiveness, particularly in converting practical pixel arrangements into virtual pixels that simulate human eye perceptions.
Innovation Solution
A method and system that establish a human eye model using a bivariate normal distribution to simulate subpixel strength distributions, calculate weight coefficients, and adjust parameters to optimize the conversion of practical pixels into virtual pixels, thereby evaluating the algorithm's merit through mean squared error calculation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a virtual algorithm is used to raise physical resolution to virtual resolution, then display resolution is improved, but color aliasing and sawtooth shapes appear at image edges
Solution Approach 1:
The patent applies different processing strategies to different regions of the image. Sharp borders are detected and processed differently from non-sharp regions, with specific subpixel arrangement patterns applied locally based on the detected edge characteristics, thereby reducing color aliasing at edges while maintaining high resolution in other areas
Solution Approach 2:
The patent adjusts subpixel arrangement parameters and filtering parameters based on local image characteristics. By changing the virtual pixel generation parameters dynamically according to edge detection results, the algorithm optimizes resolution enhancement while minimizing artifacts like color aliasing and sawtooth shapes
2Measurement precision
If practical pixel arrangement is converted to virtual pixels for evaluation, then algorithm evaluation capability is improved, but correspondence between practical and virtual pixels becomes complex
Solution Approach 1:
The patent introduces a human eye model as an intermediary between practical pixels and virtual pixels. This model simulates human visual perception and provides a standardized method to map practical pixel arrangements to virtual pixel representations, simplifying the evaluation process while maintaining accuracy
Solution Approach 2:
The patent creates a virtual copy of the practical pixel arrangement through the human eye model. By generating virtual pixels that represent how human eyes would perceive the practical arrangement, the system enables evaluation without directly dealing with the complex one-to-one correspondence between practical and virtual pixels
Data Source
AI summary
The present disclosure provides an image processing method based on a virtual algorithm, comprising: a) simulating a single subpixel; b) simulating a subpixel array of a single color; c) overlaying subpixel arrays of different colors; and d) deriving a virtual signal.