Titlebook: Digital Forensics and Watermarking; 16th International W Christian Kraetzer,Yun-Qing Shi,Hyoung Joong Kim Conference proceedings 2017 Sprin

ODE

書(shū)目名稱Digital Forensics and Watermarking影響因子(影響力)




書(shū)目名稱Digital Forensics and Watermarking影響因子(影響力)學(xué)科排名




書(shū)目名稱Digital Forensics and Watermarking網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱Digital Forensics and Watermarking網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱Digital Forensics and Watermarking被引頻次




書(shū)目名稱Digital Forensics and Watermarking被引頻次學(xué)科排名




書(shū)目名稱Digital Forensics and Watermarking年度引用




書(shū)目名稱Digital Forensics and Watermarking年度引用學(xué)科排名




書(shū)目名稱Digital Forensics and Watermarking讀者反饋




書(shū)目名稱Digital Forensics and Watermarking讀者反饋學(xué)科排名

仲裁者

lacrimal-gland

https://doi.org/10.1007/978-1-137-05617-7o adjacent positions would be changed. The histogram feature of difference matrix of DCT coefficients is used to measure it. The experimental results show that the proposed method obtains a outstanding detection accuracy.

instill

指派

Resource Allocation in Wireless Networksd on the dataset consisting of 17,136 HD sequences. The Experimental results prove the correctness of the previous conclusion and the practicability of the proposed channel model, and show that our algorithm outperforms the existing HEVC steganography algorithm in capacity and perceptibility.

tenosynovitis

Regulating the Resource Juggernautedding costs are assigned to the audio samples. Finally, the STC is used to create the stego audio. The extensive results evaluated on 10,000 music and 10,000 speech audio clips have shown that our method can significantly outperform the conventional . LSB based steganography in terms of security and audio quality.

tenosynovitis

Acquired

領(lǐng)袖氣質(zhì)

ENACT

Coding Efficiency Preserving Steganography Based on HEVC Steganographic Channel Modeld on the dataset consisting of 17,136 HD sequences. The Experimental results prove the correctness of the previous conclusion and the practicability of the proposed channel model, and show that our algorithm outperforms the existing HEVC steganography algorithm in capacity and perceptibility.