Image Processing Device Clipping Convexoconcave Interpolation
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Solution Overview
Problem
Conventional electronic camera color interpolation methods, such as adding a convexoconcave element to interpolate a G element at an R or B pixel position, can result in overly sharp image structures leading to unnatural ringing artifacts.
Innovation Solution
An image processing device and method that interpolates color elements by determining interpolation values based on neighborhood pixels, calculates convexoconcave structures, and clips these values to ensure they fall within a valid range, thereby sharpening image structure while preventing unnatural ringing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a convexoconcave element is added to interpolate a color element at a pixel position, then image structure sharpness is improved, but unnatural ringing artifacts occur
Solution Approach 1:
The patent changes the parameter of interpolation value calculation by introducing a clipping operation that constrains the interpolated color element values to fall within a valid range defined by minimum and maximum values derived from neighboring pixels. This prevents excessive sharpening that causes ringing while maintaining the sharpness benefits of convexoconcave-based interpolation.
Solution Approach 2:
The patent implements a feedback mechanism where the interpolated color element values are compared against valid ranges determined from neighboring pixel values. When values fall outside this range, they are clipped back to the valid range, creating a self-correcting system that prevents ringing artifacts while preserving image sharpness.
2Ease of operation
If color interpolation is performed based only on pixels of the same color element in the periphery, then processing simplicity is maintained, but image structure is not sharply resolved
Solution Approach 1:
The patent enhances the interpolation process by incorporating convexoconcave element calculations that utilize both same-color and different-color neighboring pixels. This changes the interpolation parameter from simple averaging to a more sophisticated calculation that includes convexoconcave structures, thereby sharply resolving image structure while maintaining reasonable processing complexity.
Data Source
AI summary
An image processing device includes an image input part inputting image data formed of a first type pixel in which a first color element is known, a second type pixel in which a second color element is known, and a third type pixel in which a third color element is known, a first color element interpolating part determining a first interpolation value of the first color element based on the first type pixels, a first convexoconcave structure calculating part calculating a first convexoconcave structure based on either of the second type pixels and the third type pixels, a first convexoconcave addition part adding the first convexoconcave structure to the first interpolation value to determine a second interpolation value, a first color range calculating part determining a range of the first color element based on the first type pixels, and a clip part determining a third interpolation value.