Nonlocally Centralized Sparse Representation for Image Restoration
Nonlocally Centralized Sparse Representation for Image Restoration is a scholarly work by Lei Zhang, published in 2012 in ''IEEE Transactions on Image Processing''. The main subjects of the publication include Deblurring, image, pattern recognition, super-resolution imaging, neural coding, image restoration, computer science, artificial intelligence, noise reduction, coding, digital image processing, compressed sensing, mathematics, Sparse modeling, algorithm, and computer vision. Sparse representation models code an image patch as a linear combination of a few atoms chosen out from an over-complete dictionary, and they have shown promising results in various image restoration applications.