Novel Edge-Guided Image Interpolation Algorithm

I would like to introduce a novel edge-guided image interpolation algorithm that can be implemented in MATLAB. This algorithm utilizes edge detection and directional interpolation techniques to preserve sharp edges while minimizing artifacts in smooth regions. Key implementation steps include: 1) Edge detection using gradient operators or advanced edge-preserving filters, 2) Directional interpolation based on edge orientation to maintain structural integrity, and 3) Adaptive weighting mechanisms for seamless transitions between different image regions.

The algorithm demonstrates superior performance compared to conventional interpolation methods by better preserving image details and enhancing visual authenticity. For image interpolation tasks, I strongly recommend trying this novel approach due to its straightforward implementation concept and excellent practical results. The MATLAB code structure is well-organized with clear function modules for edge mapping, directional interpolation, and quality enhancement, making it accessible for both research and application purposes.