Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Guided Signal Reconstruction with Application to Image Magnification   We study the problem of reconstructing a signal from its projection on a
subspace. The proposed signal reconstruction algorithms utilize a guiding
subspace that represents desired properties of reconstructed signals. We show
that optimal reconstructed signals belong to a convex bounded set, called the
"reconstruction" set. We also develop iterative algorithms, based on conjugate
gradient methods, to approximate optimal reconstructions with low memory and
computational costs. The effectiveness of the proposed approach is demonstrated
for image magnification, where the reconstructed image quality is shown to
exceed that of consistent and generalized reconstruction schemes.

8
The categories of this paper are: hep-ex
18
The categories of this paper are: econ
23
The categories of this paper are: solv-int
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
7
The categories of this paper are: hep-th
10
The categories of this paper are: q-bio
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
31
The categories of this paper are: ao-sci
9
The categories of this paper are: nlin
15
The categories of this paper are: nucl-ex
21
The categories of this paper are: adap-org
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat