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Improve robustness against JPEG noise #17

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k15z opened this issue Dec 28, 2018 · 4 comments
Open

Improve robustness against JPEG noise #17

k15z opened this issue Dec 28, 2018 · 4 comments
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@k15z
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k15z commented Dec 28, 2018

Metrics:
During testing, we should convert the image to JPG and add another metric - JPEG-BPP - which reports the resulting bits-per-pixel. This will most likely be a lot lower than the standard BPP.

Training:
We should consider creating a layer which (1) selects random 8x8 patches of the image, (2) applies the DCT transform, (3) zeros out the $N$ highest frequency components where larger $N$ indicates more "noise", and (4) applies the inverse DCT transform.

@k15z k15z self-assigned this Jan 6, 2019
@zhangqizky
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Hi~thank you for releasing it,it is awesome.
I have one question, is it impossible for steganography robust to resizing, rotating and other attacks in current?
I have done a small test, resizing and rotating output image will make the hidden message can not be extracted. Is there any steganography method can defend some common image attacks?

@liangxuejingjing
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Hello, thank you for releasing it , and I am running your codes.I have some questions about your paper:
1, How many pictures do you use to train and valid?
2, Why you use the D which is the upper-bound on the relative payload ?I can't understand this parameter. Please tell me the reasons.

@zhanghonguk
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@zhangqizky I also got the same result, this method is not robust against resizing, rotating, etc

@zyzhu19
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zyzhu19 commented Sep 12, 2020

Hi~thank you for releasing it,it is awesome.
I have one question, is it impossible for steganography robust to resizing, rotating and other attacks in current?
I have done a small test, resizing and rotating output image will make the hidden message can not be extracted. Is there any steganography method can defend some common image attacks?
试试鲁棒隐写。。。我最近在尝试

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