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Analysis and improvement of singular value decomposition-based watermarking algorithm

Tai Kuang, Shun Wang, Shundong Li, Lu-Xiong Xu

Open publisher page 4 citations

Abstract

In this paper, we analyze typical singular value watermarking algorithm based on singular value decomposition (SVD) [10] and point out an error in the embedding algorithm. After corrected this error, we optimize interval range used in embedding algorithm. Experimental results demonstrate the algorithm analysis that under same quantization step, using this optimal embedding algorithm will get better peak signal to noise ratio (PSNR) than preview algorithms.

About this research paper

What this paper is about

In this paper, we analyze typical singular value watermarking algorithm based on singular value decomposition (SVD) [10] and point out an error in the embedding algorithm. After corrected this error, we optimize interval range used in embedding algorithm. Experimental results demonstrate the algorithm analysis that under same quantization step, using this optimal embedding algorithm will get better peak signal to noise ratio (PSNR) than preview algorithms.

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OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we analyze typical singular value watermarking algorithm based on singular value decomposition (SVD) [10] and point out an error in the embedding algorithm. After corrected this error, we optimize interval range used in embedding algorithm. Experimental results demonstrate the algorithm analysis that under same quantization step, using this optimal embedding algorithm will get better peak signal to noise ratio (PSNR) than preview algorithms.

Key concepts: Singular value decomposition, Algorithm, Embedding, Digital watermarking, Quantization (signal processing), Computer science, Singular value, Algorithm design

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