Performance Comparison of Several Watermarking Methods Based on ICA and AQIM

Author

Ling, Jie ; Liu, Ju ; Sun, Zhaowan

Author_Institution

Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China

fYear

2009

fDate

12-14 Sept. 2009

Firstpage

426

Lastpage

429

Abstract

In the paper, the original image is divided into four parts by two different methods, which are taken as the observation signals in Independent Component Analysis (ICA) model. Then the watermark is embedded into DCT domain of the feature with the largest variance using iterative Adaptive Quantization Index Modulation (AQIM) and AQIM algorithms respectively. By comparing the performance of four kinds of watermark embedding methods, we show that the method based on sub-sampled ICA and iterative AQIM is better than others mentioned.

Keywords

discrete cosine transforms; independent component analysis; iterative methods; watermarking; ICA; digital watermarking; independent component analysis; iterative adaptive quantization index modulation; watermark embedding methods; watermarking methods; Discrete cosine transforms; Feature extraction; Independent component analysis; Iterative algorithms; Iterative methods; Quantization; Signal processing; Signal processing algorithms; Sun; Watermarking; AQIM; ICA; Watson Perceptual Model; digital watermarking; sub-sample;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on

Conference_Location

Kyoto

Print_ISBN

978-1-4244-4717-6

Electronic_ISBN

978-0-7695-3762-7

Type

conf

DOI

10.1109/IIH-MSP.2009.108

Filename

5337517