Steganographic greedy algorithms for data hiding based on differences under SMVQ

Wei Jen Wang, Cheng Ta Huang, Shiau Rung Tsuei, Shiuh Jeng Wang

研究成果: 雜誌貢獻會議論文同行評審


In this study, we present the idea of using secret bits to repair SMVQ-compressed images. The idea can be viewed as the optimization problem of Using Secret Bits for Image-block Repairing based on Differences under SMVQ (USBIRDS). We propose a novel algorithm named Greedy-USBIRDS to find a near optimal solution for the USBIRDS problem. The experimental results show that, the proposed method provides excellent stego-image quality and large embedding capacity, in particular for complex cover images. While compared with Chen and Lin’s steganographic method, which is the known best method based on VQ/SMVQ, the proposed method achieves about 53% more dB of PSNR of the stego-image quality and about 4.2% more bits of the embedding capacity on average.

頁(從 - 到)599-612
期刊Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版狀態已出版 - 2015
事件13th International Workshop on Digital-Forensics and Watermarking , IWDW 2014 - Taipei, Taiwan
持續時間: 1 10月 20144 10月 2014


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