A study on robustness of block entropy based digital image watermarking techniques with respect to various attacks
作者： Sanjay Kumar , Ambar Dutta
DOI: 10.1109/RTEICT.2016.7808145
关键词: Watermarking attack 、 Data mining 、 Digital Watermarking Alliance 、 Entropy (information theory) 、 Algorithm design 、 Digital watermarking 、 Digital media 、 Computer vision 、 Computer science 、 Gaussian 、 Watermark 、 Artificial intelligence
摘要: Digital Watermarking enables us to protect ownership rights on digital multimedia, such as audio, image and video data. watermark is a signal carrying information of the creator or distributor media. inserted into media in way that it imperceptible human eye, but visible computer. A watermarking attack any processing may impair detection. There are different types attacks which can affect watermarked include cropping, noise (salt & pepper, Gaussian), rotation etc. In order create copyright issues, these damage watermark. This paper reviews performance analysis algorithm based combined concept entropy block LSB Substitution presence justify robustness algorithm.
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