Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Image Fusion With Cosparse Analysis Operator   The paper addresses the image fusion problem, where multiple images captured
with different focus distances are to be combined into a higher quality
all-in-focus image. Most current approaches for image fusion strongly rely on
the unrealistic noise-free assumption used during the image acquisition, and
then yield limited robustness in fusion processing. In our approach, we
formulate the multi-focus image fusion problem in terms of an analysis sparse
model, and simultaneously perform the restoration and fusion of multi-focus
images. Based on this model, we propose an analysis operator learning, and
define a novel fusion function to generate an all-in-focus image. Experimental
evaluations confirm the effectiveness of the proposed fusion approach both
visually and quantitatively, and show that our approach outperforms
state-of-the-art fusion methods.

18
The categories of this paper are: econ
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
4
The categories of this paper are: cond-mat
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
22
The categories of this paper are: chao-dyn
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
9
The categories of this paper are: nlin
17
The categories of this paper are: q-fin
23
The categories of this paper are: solv-int
24
The categories of this paper are: dg-ga
7
The categories of this paper are: hep-th