Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Primary quantization matrix estimation of double compressed JPEG images
  via CNN   Available model-based techniques for the estimation of the primary
quantization matrix in double-compressed JPEG images work only under specific
conditions regarding the relationship between the first and second compression
quality factors, and the alignment of the first and second JPEG compression
grids. In this paper, we propose a single CNN-based estimation technique that
can work under a very general range of settings. We do so, by adapting a dense
CNN network to the problem at hand. Particular attention is paid to the choice
of the loss function. Experimental results highlight several advantages of the
new method, including: i) capability of working under very general conditions,
ii) improved performance in terms of MSE and accuracy especially in the
non-aligned case, iii) better spatial resolution due to the ability of
providing good results also on small image patches.

9
The categories of this paper are: nlin
36
The categories of this paper are: cmp-lg
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
28
The categories of this paper are: alg-geom
13
The categories of this paper are: quant-ph
5
The categories of this paper are: gr-qc
2
The categories of this paper are: math
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
22
The categories of this paper are: chao-dyn