Morgana M. A. da Rosa, Eduardo A. C. da Costa, Rafael Soares, Sergio Bampi
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引用次数: 0
Abstract
Digital watermarking conceals data within host images to safeguard against unauthorized distribution of multimedia content. It offers content protection and anti-piracy measures, maintaining content quality by embedding invisible information. This process involves inserting and extracting watermarks. We introduce a robust algorithm, combining discrete Haar wavelet transform (DHWT) and discrete cosine transform (DCT), yielding effective watermarking with high resistance to extraction without data loss. This combination of transforms represents a hybrid approach that we call HyDHWCT in this work. Evaluations reveal our approach’s superior accuracy compared to state-of-the-art methods. Our hardware watermarking solution excels in robustness and energy efficiency, even under diverse attack scenarios. FPGA and ASIC assessments show our HyDHWCT’s exceptional area and power performance, with the algorithm achieving a lossless watermark extraction (NC = 1), outperforming prior methods in accuracy-quality, and energy-, and area-savings (approximately \(2.621\times \) and \(1.174\times \), respectively). Accuracy-quality results confirm a perfect extraction rate (NC = 1), ensuring 100% accuracy in watermark extraction.
期刊介绍:
Rapid developments in the analog and digital processing of signals for communication, control, and computer systems have made the theory of electrical circuits and signal processing a burgeoning area of research and design. The aim of Circuits, Systems, and Signal Processing (CSSP) is to help meet the needs of outlets for significant research papers and state-of-the-art review articles in the area.
The scope of the journal is broad, ranging from mathematical foundations to practical engineering design. It encompasses, but is not limited to, such topics as linear and nonlinear networks, distributed circuits and systems, multi-dimensional signals and systems, analog filters and signal processing, digital filters and signal processing, statistical signal processing, multimedia, computer aided design, graph theory, neural systems, communication circuits and systems, and VLSI signal processing.
The Editorial Board is international, and papers are welcome from throughout the world. The journal is devoted primarily to research papers, but survey, expository, and tutorial papers are also published.
Circuits, Systems, and Signal Processing (CSSP) is published twelve times annually.