Blind image steganography algorithm development which resistant against JPEG compression attack
Sign Up to like & getrecommendations! Published in 2022 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11351-8
Abstract: Digital image steganography is now one of the effective methods for exchanging confidential information over the public network. One of the major challenges is to protect secret data embedded in to image against JPEG compression.… read more here.
Keywords: image; image steganography; jpeg compression;
Revealing the traces of nonaligned double JPEG compression in digital images
Sign Up to like & getrecommendations! Published in 2020 at "Optik"
DOI: 10.1016/j.ijleo.2020.164196
Abstract: Abstract JPEG standard has been widely applied in many image acquisition devices and image editing tools. Identifying the authenticity of JPEG images is receiving significant attention in image forensics. In many JPEG image splicing forgeries,… read more here.
Keywords: double jpeg; traces nonaligned; nonaligned double; jpeg ... See more keywords
Reduction of JPEG compression artifacts based on DCT coefficients prediction
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DOI: 10.1016/j.neucom.2019.12.015
Abstract: Abstract The image compression-decompression process causes image quality degradations such as blocking and ringing artifacts. A convolutional neural network based on DCT domain is proposed to learn the mapping relationship between JPEG images and original… read more here.
Keywords: compression; dct coefficients; based dct; compression artifacts ... See more keywords
Detection of Double JPEG Compression With the Same Quantization Matrix via Convergence Analysis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2021.3097351
Abstract: Detecting double JPEG compression with the same quantization matrix is a challenging task in image forensics. To address this problem, in this paper, a novel method is proposed by leveraging the component convergence during repeated… read more here.
Keywords: double jpeg; jpeg; quantization; jpeg compression ... See more keywords
S-Net: a scalable convolutional neural network for JPEG compression artifact reduction
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.27.4.043037
Abstract: Abstract. Recent studies have used deep residual convolutional neural networks (CNNs) for JPEG compression artifact reduction. This study proposes a scalable CNN called S-Net. Our approach effectively adjusts the network scale dynamically in a multitask… read more here.
Keywords: network; convolutional neural; compression artifact; artifact reduction ... See more keywords