Sparse Image Recovery under Non-convex ℓp/ℓq Ratio Regularisation
We study sparse image recovery under the non-convex ℓp/ℓq ratio regularisation, a generalisation of the classical ℓ1/ℓ2 ratio. The problem is non-convex and non-smooth, and arises in compressed-sensing image reconstruction and sparse-representation-based classification. A genuine Gauss–Seidel coordinate-descent solver...