Digital Watermarking Processing Technique Based on Overcomplete Dictionary

作者：Liu, Chanzi^*; Chen, Qingchun; Liang, Hongbin; Li, Hengchao

来源：International Journal of Pattern Recognition and Artificial Intelligence, 2016, 30(10): 1658002.

DOI：10.1142/S0218001416580027

• Digital watermarking
• sparse decomposition
• overcomplete dictionary
• compressive sensing

A novel sparse domain-based information hiding framework is proposed in this paper to attach the watermarking signal to the most significant sparse components of the host signal over the pre-defined overcomplete dictionary. The adaptive sparse domain can be utilized to embed watermarking logo with better security and robustness. This can be realized owing to the fact that, not only the sparse domain can be customized from the given samples, but also the sparse transform coefficients of the original watermarking signal can be embedded, which provides inherent privacy. This paper provides two kinds of methods that embed watermark directly and embed the sparse representation coefficients of watermarking logo, and analyzes the condition of uniqueness of the sparse solution. Experimental results demonstrate the superiority of the proposed sparse domain digital watermarking technique over the traditional frequency domain or spatial domain schemes.

• 出版日期2016-12
• 单位西南交通大学