eprintid: 4153
rev_number: 8
eprint_status: archive
userid: 14
dir: disk0/00/00/41/53
datestamp: 2020-12-07 14:07:13
lastmod: 2020-12-07 14:07:13
status_changed: 2020-12-07 14:07:13
type: conference_item
metadata_visibility: show
creators_name: Pham, Tuan Dung
creators_name: Ta, Viet Cuong
creators_name: Pham, Thi Thanh Thuy
creators_name: Le, Thanh Ha
creators_id: phamtuandung12@gmail.com
creators_id: cuongtv@vnu.edu.vn
creators_id: ltha@vnu.edu.vn
title: Reducing Blocking Artifacts in CNN-Based Image Steganography by Additional Loss Functions
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Our work improves the encoded image quality from HiDDeN framework, an end-to-end image steganography based on deep convolution neural network.
In the encoding phase of HiDDeN framework, to embed a message in a cover image, it is required to split the cover image into smaller image blocks and embed the message bits in each block in parallel. These embedded blocks are then combined to form an encoded image that has the same size as the cover image. This image reconstruction process causes artifacts that appear on the boundaries of the blocks. This can be explained by the fact that when message bits are embedded in the image blocks, the pixel-level information of each image block is unequally alternated.
In order to reduce block artifacts,
in this work we propose a blocking loss as an additional objective function in HiDDeN framework. This loss measures the difference between encoded images and modified versions of the cover images. 
The proposed method is evaluated on COCO 2014 and BOSS datasets and the experimental results show the effectiveness in reducing the block artifacts that appeared in the encoded images of HiDDeN framework. This has an important impact on increasing the invisibility or transparency of the steganography system. In addition, the experimental result on secrecy of the proposed method also indicates the same performance as the HiDDeN pipeline.
date: 2020-11
date_type: published
contact_email: cuongtv@vnu.edu.vn
full_text_status: public
pres_type: paper
pagerange: 61-66
event_title: KSE 2020
event_location: Can Tho
event_type: conference
refereed: FALSE
projects: CN20.24
citation:   Pham, Tuan Dung and Ta, Viet Cuong and Pham, Thi Thanh Thuy and Le, Thanh Ha  (2020) Reducing Blocking Artifacts in CNN-Based Image Steganography by Additional Loss Functions.  In: KSE 2020, Can Tho.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/4153/1/kse_copy.pdf