Locally Weighted Least Squares Regression for Image Denoising, Reconstruction and Up-sampling

Abstract

In this project, I describe an image processing framework that uses locally weighted least squares regression to denoise, reconstruct and upsample images. Classic, bilateral and robust kernel regression is derived and discussed.