Title :
A Robust Image Hiding Method Based on Sign Embedding and Fuzzy Classification
Author :
Li, Qingzhong ; Yu, Chen ; Chu, Dongsheng
Author_Institution :
Eng. Coll., Ocean Univ. of China, Qingdao
Abstract :
In order to minimize the distortion of secret image, a novel steganographic method based on sign embedding and fuzzy theory is presented in this paper. By incorporating fuzzy theory with human visual system (HVS), a fuzzy classifier for DCT sub-blocks is first developed to realize the adaptive selection of the embedding strength. The new embedding scheme consists of a reasonable partition of pixel value and a sign embedding operation, which can effectively overcome the grievous distortion problem due to distortions introduced in the secret image by rounding off errors. The experimental results show that the proposed scheme is a robust image hiding approach in DCT domain and the maximum distortion error in pixel value for extracted secret image is plusmn 1. And the cover images can provide good quality after embedding larger amount of data
Keywords :
data encapsulation; discrete cosine transforms; fuzzy set theory; image classification; image coding; watermarking; discrete cosine transform; fuzzy classification; fuzzy theory; human visual system; image hiding; secret image distortion; sign embedding; steganography; Discrete cosine transforms; Discrete wavelet transforms; Frequency domain analysis; Fuzzy systems; Humans; Image coding; Pixel; Robustness; Steganography; Visual system; Discrete cosine transform (DCT); Fuzzy classification; Image hiding; Steganography; human visual system (HVS);
Conference_Titel :
Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
Conference_Location :
Dalian
Print_ISBN :
1-4244-0332-4
DOI :
10.1109/WCICA.2006.1713965
