MATLAB Implementation of the New Edge-Directed Interpolation Algorithm

In this article, we provide a comprehensive MATLAB implementation guide for the new edge-directed interpolation algorithm, designed to help readers deepen their understanding of this technique. We will explain the core principles and advantages of the algorithm, including its edge-aware interpolation mechanism that preserves sharp boundaries while reducing artifacts. The implementation section demonstrates key MATLAB functions such as gradient calculation using imgradient, directional interpolation with weighted neighborhood processing, and edge map generation through Sobel operators. We include practical code examples showing how to handle image upscaling while maintaining edge integrity, with sample inputs and processed outputs for verification. Additionally, we discuss potential applications in medical imaging and super-resolution tasks, along with optimization suggestions like adaptive window sizing and parallel computing using parfor loops. This technical walkthrough aims to equip readers with practical skills to solve real-world image processing challenges using this advanced interpolation approach.