An Adaptive Embedding Strength Watermarking Algorithm Based on Shearlets’ Capture Directional Features

Qiumei Zheng, Nan Liu and Fenghua Wang
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Qiumei Zheng: College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China
Nan Liu: College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China
Fenghua Wang: College of Computer Science and Technology, China University of Petroleum, Qingdao 266580, China

Mathematics, 2020, vol. 8, issue 8, 1-19

Abstract: The discrete wavelet transform (DWT) is unable to represent the directional features of an image. Similarly, a fixed embedding strength is not able to establish an ideal balance between imperceptibility and robustness of a watermarked image. In this work, we propose an adaptive embedding strength watermarking algorithm based on shearlets’ capture directional features (S-AES). We improve the watermarking algorithm in the domain of DWT using non-subsampled shearlet transform (NSST). The improvement is made in terms of coping with anti-geometric attacks. The embedding strength is optimized by artificial bee colony (ABC) to achieve higher robustness under the premise of satisfying imperceptibility. The principle components (PC) of the watermark are embedded into the host image to overcome the false positive problem. The simulation results show that the proposed algorithm has better imperceptibility and strong robustness against multi-attacks, especially those of high intensity.

Keywords: non-subsampled shearlet transform; artificial bee colony; principle components; false positive problem (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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