Image Scaling Using Transparency-Weighted Pixel Blending
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Solution Overview
Problem
Conventional image scaling methods in digital televisions often result in gradient colors and sawtooth phenomena at the edges of scaled captions, deteriorating the smoothness and sharpness of the foreground, and fail to eliminate background colors effectively.
Innovation Solution
An image scaling method and apparatus that selects reference pixels with transparency parameters, adjusts weight values based on these parameters, and blends pixel values to generate target pixel values, with background pixels defined by a transparency parameter less than or equal to a predetermined value and foreground pixels defined by a parameter greater than this value, using a weight value setting unit and computing device to redistribute weights and perform blending operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional interpolation methods are used to scale caption data, then the scaling operation can be performed, but gradient colors and sawtooth phenomena appear on the edge of the foreground, deteriorating the smoothness and sharpness
Solution Approach 1:
The patent applies different processing strategies to different regions of the image based on transparency parameters. Foreground pixels (with higher alpha values) are processed differently from background pixels (with lower alpha values). The method selectively blends pixels from the original and scaled images based on their transparency, ensuring that foreground edges maintain sharpness while background areas are properly handled, thus eliminating gradient colors and sawtooth phenomena at foreground edges.
2Reliability
If transparency parameters are used to differentiate foreground and background pixels, then the video mixer can process them differently, but background colors may still appear on the edge of the scaled foreground
Solution Approach 1:
The patent utilizes the transparency parameter (alpha value) as a key parameter to control the blending operation. By adjusting the weight of original pixels versus scaled pixels based on the transparency parameter, the method ensures that foreground edges (with high transparency) retain their original sharp appearance, while background areas (with low transparency) are properly scaled. This parameter-based approach prevents background colors from appearing on foreground edges.
Data Source
AI summary
An image scaling method for calculating a pixel value of a target pixel within a scaled image block is disclosed. The method includes selecting a plurality of reference pixels from the image block, wherein each reference pixel has a pixel value and corresponds to a transparency parameter; respectively setting a corresponding weight value for each reference pixel; adjusting the weight values according to the transparency parameters of the reference pixels; and blending the pixel values of the reference pixels to generate the pixel value of the target pixel according to the adjusted weight values of the reference pixels.