An Iterative Approach to Super-Resolution using Multiple Low-Resolution Images
Raghunandan Srinath, Jayavrinda Vrindavanam V, V. Prathith Vasudev, S Supreeth · 2019 Global Conference for Advancement in Technology (GCAT) · 2019
Keeping in view the increasing requirements of super resolution in a wide range of applications, this paper adds to the existing literature of alternative algorithmic approach to develop a high resolution image from multiple low resolution images. The paper, after a review of the existing methods in super resolution, presents an iterative approach using multiple low-resolution images building on top of established tools like New Edge Directed Interpolation, through a novel approach. The approach tries to discover higher frequencies from a multiplicity of data samples available, and preserves these edges across iterations. The proposed method has been tested on images of a range of complexities, including on satellite images, and the results are promising.