Information Technology Journal1812-56381812-5646Asian Network for Scientific Information10.3923/itj.2012.647.650YangHengfu YinJianping 52012115Generally, image compression using Block Truncation Coding (BTC) cant provide high compression ratio and visual quality. A new adaptive BTC scheme is proposed by combining visual perception of original images and data hiding technique. The texture sensitivity is exploited to classify the types of image sub-block and reduce the bit rate while remaining good quality of reconstructed images. Moreover, the indicator bits of image sub-blocks are hidden into the quantizing levels of those blocks for decoding purpose. The simulation results show that the proposed BTC algorithm can achieve good balance between bit-rate and PSNR values. Especially, it obtained about 4.0 dB higher PSNR at approximate bit-rate.]]>Delp, E. and O. Mitchell,19792713351342Lema, M.D. and O.R. Mitchell,19843211481157Lv, M.L. and Z.M. Lu,201110207212Mohammad, N., X. Sun and H. Yang,20111014151420Kumar, A. and P. Singh,20112525530Kamel, M., C.T. Sun and L. Guan,199139208212Wu. Y.G.,20024124762478Hu, Y.C.,200413871877Han, J.W., M.C. Hwang, S.G. Kim, T.H. You and S.J. Ko,20085418391845Wang, J. and J.W. Chong,20105611301136Guo, J.M.,20102097110Somasundaram, K. and M.S.S. Vimala,2010221632166Choi, K.S. and S.J. Ko,2011504700147007Natarajan, S. and Y.V.R. Rao,2011592531Vimala S., P. Uma and B. Abidha,201119515