Image restoration under sparsity constraints has received increased attention in recent years. This problem can be formulated as a nondifferentiable convex optimization problem whose solution is challenging. In this work, the non-differentiability of the objective is addressed by reformulating the image restoration problem as a nonnegatively constrained quadratic program which is then solved by a specialized Newton projection method where the search direction computation only requires matrix-vector operations. A comparative study with stateof- the-art methods is performed in order to illustrate the efficiency and effectiveness of the proposed approach.
CITATION STYLE
Landi, G. (2016). Sparsity constrained image restoration: An approach using the newton projection method. In IFIP Advances in Information and Communication Technology (Vol. 494, pp. 341–350). Springer New York LLC. https://doi.org/10.1007/978-3-319-55795-3_32
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