Local Binary Patterns for Digital Image Watermarking

Abstract

In this paper we describe a novel digital image watermarking method using local binary patterns (LBP). Local binary patterns are known for their robust texture describing capabilities and digital watermarking used in proving the ownership of a multimedia content. In this work we propose a LBP synthesis or inverse LBP matching process and its applicability to digital image watermarking. LBP synthesis process changes the neighborhood pixels values, so that the LBP computed from these pixels is the value we want to synthesize. This process takes into account the requirements of a digital image watermarking such as imperceptibility and robustness to watermark removal attacks. Because of the nature of LBP synthesis it is required that only few pixels of a given block are modified to embed watermark. The simulation results show that the method is robust to JPEG compression, rotation and scaling attacks. This LBP synthesis process could also be used to watermark sensor data for proving the ownership. We are confident that this work would lead to a new research direction in authentication of digital content.