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What is Sparse Coding in Signal Processing about?

This document provides an introduction to sparse coding and its applications in computer vision. It discusses how sparse coding represents signals as linear combinations of atoms in an overcomplete dictionary in a compact way by enforcing sparsity. Sparse coding formulations involving L0 and L1 norms are presented. Sparse coding has been widely and successfully applied to problems in computer vision such as denoising, super-resolution, and motion segmentation by providing an effective regularization approac

Author

Janardhan Ch

Language

EN