Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Structured and Localized Image Restoration   We present a novel approach to image restoration that leverages ideas from
localized structured prediction and non-linear multi-task learning. We optimize
a penalized energy function regularized by a sum of terms measuring the
distance between patches to be restored and clean patches from an external
database gathered beforehand. The resulting estimator comes with strong
statistical guarantees leveraging local dependency properties of overlapping
patches. We derive the corresponding algorithms for energies based on the
mean-squared and Euclidean norm errors. Finally, we demonstrate the practical
effectiveness of our model on different image restoration problems using
standard benchmarks.

19
The categories of this paper are: eess
8
The categories of this paper are: hep-ex
0
The categories of this paper are: hep-ph
33
The categories of this paper are: plasm-ph
22
The categories of this paper are: chao-dyn
11
The categories of this paper are: hep-lat
18
The categories of this paper are: econ
32
The categories of this paper are: atom-ph
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
17
The categories of this paper are: q-fin
20
The categories of this paper are: acc-phys
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
21
The categories of this paper are: adap-org