The Development of modern communication technology, demand for digital image, audio, video and other contents transmission and storage are increasing rapidly. To protect digital product and ensure the secure transfer of the digital items become important issue in home and abroad. The researcher developed many algorithms; these are some specific fields. But can?t grantee the whole safety of the contents. The Block Truncation Coding one of the effective and real time application for the hiding data compare with transform domain and other techniques. In a coding technique, a number of bits required to represent an image which needs less data store and less computation. Application of coding in the field of image processing generally concern image data compression for storage and transmission as well as feature extraction for pattern recognition . Most existing BTC-based data hiding algorithms do not fully exploit visual perception of the host images and cannot obtain high hiding capacity and visual quality. For fully exploit visual perception and high hiding capacity, an excellent data hiding scheme based on BTC is proposed. First, the BTC scheme uses a two level (one-bit) nonparametric quantizer that adapts to local properties of the image. Second we employed Human Visual System (HVS) masking characteristics which ensure high visual quality of stego image. At the last, we embedded the data into the modified bitmap of BTC. The experimental results show that the proposed algorithm has good transparency, high hiding capacity and the visual quality of stego-images is very good.
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