Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Color Image Steganography Based on Frequency Sub-band Selection   Color image steganography based on deep learning is the art of hiding
information in the color image. Among them, image hiding steganography(hiding
image with image) has attracted much attention in recent years because of its
great steganographic capacity. However, images generated by image hiding
steganography may show some obvious color distortion or artificial texture
traces. We propose a color image steganographic model based on frequency
sub-band selection to solve the above problems. Firstly, we discuss the
relationship between the characteristics of different color spaces/frequency
sub-bands and the generated image quality. Then, we select the B channel of the
RGB image as the embedding channel and the high-frequency sub-band as the
embedding domain. DWT(discrete wavelet transformation) transforms B channel
information and secret gray image into frequency domain information, and then
the secret image is embedded and extracted in the frequency domain.
Comprehensive experiments demonstrate that images generated by our model have
better image quality, and the imperceptibility is significantly increased.

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The categories of this paper are: nlin
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The categories of this paper are: atom-ph
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The categories of this paper are: chao-dyn
10
The categories of this paper are: q-bio
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The categories of this paper are: hep-th
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The categories of this paper are: funct-an
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The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
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The categories of this paper are: dg-ga
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The categories of this paper are: cmp-lg
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The categories of this paper are: eess
34
The categories of this paper are: chem-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-lat
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The categories of this paper are: hep-ex
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The categories of this paper are: supr-con