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Image watermarking is a method that embeds a watermark in the digital image by making small changes in the host data. In watermarking applications, the robustness of the watermark to the common signal processing and geometric desynchronization attacks(DAs) is essential to the system. Most image watermarking resynchronization schemes can survive global DAs (e.g., rotation, scaling, translation, and other affine transforms), but few are resilient to cropping and local DAs. In this paper, We present a watermarking resynchronization scheme against local transform attack. It uses a local invariant transform called Local Daisy Feature Transform(LDFT) and Binary Space Partitioning(BSP) Tree to partition the LDFT space. Watermark is embedded in the leaf nodes of the BSP tree. Here, attacks to the watermarked image can also be detected using

An Attack-resistant Watermark Resynchronization Scheme using LDFT and BSP