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 2014 → 4 10月 2014