Multi-frame Image Interpolation Techniques: Method and Implementation

Multi-frame image interpolation-based approaches represent the most intuitive method in Super-Resolution (SR) restoration techniques. These methods first estimate relative motion information between frames to obtain pixel values at non-uniformly spaced sampling points of the High-Resolution (HR) image, followed by non-uniform interpolation to derive pixel values on the HR grid, and finally employ image restoration techniques to remove blur and reduce noise (motion estimation → non-uniform interpolation → deblurring and denoising).