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Reversible Watermarking in JPEG Images Based on Modified RZL Codes and Histogram Shift

Reversible Watermarking in JPEG Images Based on Modified RZL Codes and Histogram Shift
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摘要 Reversible watermarking has extensive applications in fields such as medical data management and forensic enforcement. In this article, we propose a modified reverse zero-run length (RZL) coding method for reversible watermarking, which intro- duces fewer modifications to cover than previous ones under the same embedding rate. By combining the coding method with his- togram shift and quantization table modification strategy, we pro- pose a novel reversible data hiding algorithm for JPEG images. Compared with previous art, when embedding the same payload, our method has an improvement of at least 2 dB in stego image's quality, which proves the effectiveness and advantage of our algo- rithm. Reversible watermarking has extensive applications in fields such as medical data management and forensic enforcement. In this article, we propose a modified reverse zero-run length (RZL) coding method for reversible watermarking, which intro- duces fewer modifications to cover than previous ones under the same embedding rate. By combining the coding method with his- togram shift and quantization table modification strategy, we pro- pose a novel reversible data hiding algorithm for JPEG images. Compared with previous art, when embedding the same payload, our method has an improvement of at least 2 dB in stego image's quality, which proves the effectiveness and advantage of our algo- rithm.
出处 《Wuhan University Journal of Natural Sciences》 CAS 2013年第2期126-132,共7页 武汉大学学报(自然科学英文版)
基金 Supported by the National Natural Science Foundation of China(61170234and60803155) the National Science and Technology Major Project of China(2010ZX03004-003) the High-Tech Research and Development Program of China(863program)(2009AA012201)
关键词 reversible watermarking JPEG images image au-thentication PAYLOAD PSNR reversible watermarking JPEG images image au-thentication payload PSNR
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