HAND DEPTH IMAGE DENOISING AND SUPERRESOLUTION VIA NOISE-AWARE DICTIONARIES

This paper proposes a two-stage method for hand depth image denoising and superresolution, using bilateral filters and Storage learned dictionaries via noise-aware orthogonal matching pursuit (NAOMP) based K-SVD.The bilateral filtering phase recovers singular points and removes artifacts on silhouettes by averaging depth data using neighborhood pix