A NEW WATERMARKING SCHME AGAINST LOCAL ATTACKS

Abstract

Many watermarking schemes are robust against common image processing attacks like Rotation Scaling Translation (RST) attack. In this paper, presents a blind watermarking scheme against local attacks. First, proposes a new globally and locally feature transform called Local Daisy feature transform (LDFT). Then, partition this invariant geometric space using Binary Space Partition Tree (BSP). The location of every single pixel is in variable to geometrical distortions like rotation, scaling, translation and resistant against cropping. Lastly, Logarithmic quantization index modulation (LQIM) watermarking embedding method is used to embed watermarking sequence bit by bit into leaf nodes of binary space partition tree. This method overcomes the drawbacks of feature based watermarking method. The watermark Extraction is similar to Watermark Embedding. In Extraction process also LDFT space is created and partitioned using BSP tree.