Adaptive Image Watermarking Algorithm Based on Improved Perceptual Models
Yifeng Zhang, Yanling Jiang, Wenjiang Pei, Kai You Wang · 2013
A blind detection can be achieved based on the quantization of the watermark embedding algorithm. QIM (Quantized Index Modulation) is one of the most common quantization embedding methods. The quantization step is one of the most important factors which affect the performance of quantization watermarkings. In this paper, according to the characteristic of perceptual model and a variety of attacks, further modified perceptual model and different imple- mentations of perceptual model are proposed. They are incorporated with the spread transform quantization index modulation (ST-QIM) framework. The experimental results show that the four algorithms we proposed in this paper are robust to noise attacks and common digital image processing operations. Finally, in conclusion section, summary and outlook are given.