An adaptive data hiding in wavelet domain based on texture analysis of image

Author

Wang, Yuanyuan ; Yu, Yibiao

Author_Institution

Sch. of Electron. & Inf. Eng., Soochow Univ., Soochow

fYear

2008

fDate

7-9 July 2008

Firstpage

1369

Lastpage

1372

Abstract

According to texture analysis in low frequency sub-band of DWT, an adaptive image hiding algorithm is proposed. The low-frequency part of DWT is classified as smooth, edge and texture region by entropy and standard deviation, and different regions are assigned with different hiding bits, which will increase the hiding capacity. The blind detection is accomplished by resetting low bits in DWT low-frequency regions. Experimental results show the embedding rate of image with complex texture can be increased up to 13.89%. The proposed method is quite effective and robust to attacks.

Keywords

adaptive codes; cryptography; data encapsulation; discrete wavelet transforms; entropy codes; image classification; image coding; image texture; statistical analysis; DWT; adaptive data hiding; blind detection; cryptography; discrete wavelet transform; entropy; image classification; standard deviation; texture image analysis; Algorithm design and analysis; Data encapsulation; Discrete wavelet transforms; Entropy; Frequency; Image analysis; Image edge detection; Image texture analysis; Wavelet analysis; Wavelet domain;

fLanguage

English

Publisher

ieee

Conference_Titel

Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-1723-0

Electronic_ISBN

978-1-4244-1724-7

Type

conf

DOI

10.1109/ICALIP.2008.4590210

Filename

4590210