A MATLAB Implementation of a Super Resolution Algorithm with Code Examples

This article presents a super resolution algorithm implemented in MATLAB. The algorithm employs multiple techniques to enhance image resolution, including interpolation for increasing pixel density, noise reduction for cleaning image artifacts, and edge enhancement for accentuating structural features. The interpolation process utilizes MATLAB's imresize function with bicubic methods to generate additional pixels while maintaining image quality. Noise reduction is achieved through adaptive filtering techniques like Wiener filtering, which automatically adjusts to local image variance. Edge enhancement incorporates morphological operations and gradient-based methods such as the Sobel operator to sharpen boundaries. Furthermore, we demonstrate the MATLAB implementation through code examples showcasing key functions like imread for image input, padarray for boundary handling, and conv2 for convolution operations. These examples help readers better understand and apply the algorithm in practical scenarios.