Pixel Interpolation Using Uniform Pyramid Geometry for CCD Sensitivity
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Solution Overview
Problem
1CCD imaging devices face accuracy issues in interpolating sensitivity level values for insufficient color components due to differences in geometric figures used for different color components, leading to reduced accuracy and sensitivity for R and B light compared to G light, especially when using triangles which refer to fewer pixels.
Innovation Solution
An image processing device with a pixel-interpolation processing unit that calculates sensitivity level values using a consistent geometric figure, such as a pyramid, for all color components, ensuring accurate interpolation by referencing both same and different color component pixels, thereby reducing the impact of output fluctuations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If different geometric figures (triangle for G, pyramid for R/B) are used for interpolation based on color component, then the interpolation adapts to the pixel array structure, but the measurement precision of sensitivity level values deteriorates for R and B components
Solution Approach 1:
The patent applies a pyramid geometric figure universally for all color components (R, G, B) in interpolation calculations, replacing the previous approach that used different geometric figures (triangle for G, pyramid for R/B). This universal application ensures that the same number of reference pixels (4 surrounding pixels) are used for all color components, eliminating the precision deterioration that occurred when fewer pixels (3 in triangle) were used for G component interpolation.
2Device complexity
If a triangle geometric figure is used for G component interpolation, then the calculation is simplified, but the number of reference pixels is reduced leading to lower measurement precision
Solution Approach 1:
The patent changes the geometric figure parameter from triangle (3 vertices) to pyramid (4 vertices) for all color components. This parameter change increases the number of reference pixels from 3 to 4, thereby improving the measurement precision of sensitivity level values while maintaining computational efficiency through the standardized pyramid-based calculation formula.
Data Source
AI summary
A pixel-interpolation processing unit generates a sensitivity level value of an insufficient color component according to interpolation processing of image signals. A sensitivity level value of an insufficient color component in a pixel of attention is calculated, according to an arithmetic operation corresponding to an acquired color component of the pixel of attention, by assuming a geometric figure including sensitivity level values of acquired color components as vertexes. As the geometric figure, the same figure is used irrespectively of which color component the acquired color component is.