Edge-Aware Interpolation for Artifact Reduction in Imaging Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional imaging systems generate noticeable artifacts during interpolation of image sensor data and often require a separate aperture correction module, which complicates the process.
Innovation Solution
An imaging system that uses a combination of pixel-averaging and edge-aware interpolation processes, along with a correction factor that adjusts based on edge content, to generate RGB video data without a separate aperture correction module, thereby reducing artifacts and enhancing image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional interpolation processes are used to generate RGB video data from Bayer data, then the demosaicing function is achieved, but noticeable artifacts are generated in the digital image
Solution Approach 1:
The patent segments the interpolation process into two distinct stages: an initial pixel-averaging interpolation to generate preliminary RGB values, followed by an edge-aware refinement stage that selectively adjusts values near detected edges. This segmentation allows each stage to optimize for its specific function, reducing overall artifacts while maintaining interpolation accuracy.
Solution Approach 2:
The patent applies different interpolation strategies to different regions of the image based on local characteristics. Edge-aware interpolation is applied specifically in regions where edges are detected, while standard interpolation is used in uniform regions. This local quality approach ensures that edge regions receive specialized treatment to prevent artifacts, while uniform regions maintain computational efficiency.
2Reliability
If aperture correction is performed separately from interpolation processes, then aperture correction function is achieved, but the system complexity increases requiring a separate aperture correction module
Solution Approach 1:
The patent merges the aperture correction function into the edge-aware interpolation process by using the same edge detection mechanism to identify regions where aperture effects are present. The correction is applied during the interpolation refinement stage, eliminating the need for a separate aperture correction module while maintaining correction reliability.
Solution Approach 2:
The edge detection and refinement mechanism serves multiple functions simultaneously: it performs edge-aware interpolation to reduce artifacts, identifies regions for aperture correction, and applies the correction in-uniformly across the image. This multi-functionality reduces system complexity while maintaining the reliability of aperture correction.
Data Source
AI summary
Embodiments of an imaging system and method for generating video data with edge-aware interpolation are generally described herein. Other embodiments may be described and claimed. In some embodiments, an edge-aware demosaicing process is performed on image sensor data to generate pixel-edge data, and video output data may be generated by adding the pixel-averaged data to difference data weighted by a correction factor. The difference data represents a difference between pixel-averaged data and the pixel-edge data. The correction factor may be proportional to an amount of edge content in the image sensor data.