"Clustering algorithms"

New bounds on image denoising: Viewpoint of sparse representation and non-local averaging

Image denoising plays a fundamental role in many image processing applications. Utilizing sparse representation and nonlocal averaging together is such a successful framework that leads to considerable progress in denoising. Almost all the newly …

Learning dictionary via subspace segmentation for sparse representation

Sparse signal representation based on redundant dictionaries contributed to much progress in image processing in the past decades. But the common overcomplete dictionary model is not well structured and there is still no guideline for selecting the …