Color Interpolation Method Using Grouped Channel Updates
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing graphics processing systems face high performance requirements for color interpolation, which can lead to noticeable decreases in picture quality, making it challenging to maintain user experience while reducing computational demands.
Innovation Solution
A method for color interpolation that divides color channels into groups, updating each group's components every K pixels instead of every pixel, using a color slope multiplier to calculate and combine components, thereby reducing the number of mathematical operations required.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional color interpolation methods are used to maintain picture quality, then interpolation accuracy is improved, but computational performance requirements increase
Solution Approach 1:
The patent segments color components into groups (e.g., red and blue components in one group, green component in another) and updates different groups at different rates. This segmentation allows the system to maintain interpolation accuracy for critical color components while reducing computational operations for less critical components, thereby resolving the contradiction between accuracy and performance.
Solution Approach 2:
The patent applies partial action by updating only certain color components every pixel while copying other components from neighboring pixels. Instead of fully calculating all color components for every pixel (excessive action), the system performs partial calculations only where necessary, reducing computational load while maintaining acceptable picture quality.
2Productivity
If computational operations are reduced to improve performance, then processing speed is improved, but picture quality deteriorates
Solution Approach 1:
The patent applies local quality by treating different color components differently based on their visual importance and update requirements. Critical components like green (which affects luminance) are updated every pixel, while less critical components like red and blue are updated every K pixels. This localized differentiation maintains picture quality where it matters most while reducing overall computational operations.
Solution Approach 2:
The patent implements periodic action by updating certain color components every K pixels rather than continuously every pixel. This periodic updating reduces the frequency of computational operations for non-critical color components, thereby improving processing speed while maintaining acceptable picture quality through strategic updates of essential components.
Data Source
AI summary
In a method for color interpolation between two colors, each interpolated color between a first color having at least two color components and a second color having at least two color components, is defined by copying at least one color component from a corresponding color component of a neighboring color and calculating at least one other color component.


