Extending Multi-MSB Prediction and Huffman Coding for Reversible Data Hiding in Encrypted HDR Images

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题名:	Extending Multi-MSB Prediction and Huffman Coding for Reversible Data Hiding in Encrypted HDR Images
作者:	蔡淵裕;Tsai, Yuan-Yu;劉鴻霖;Liu, Hong-Lin;郭沛琳;Kuo, Pei-Lin;詹啟祥;Chan, Chi-Shiang
贡献者:	資訊電機學院行動商務與多媒體應用學系
日期:	2022-05-01
上传时间:	2023-03-28 02:20:00 (UTC+0)
出版者:	亞洲大學
摘要:	Reversible data hiding in encrypted images can simultaneously enhance the image privacy and preserve the message security for the purpose of covert communication and cloud data management. The algorithm extends the multi-MSB prediction and Huffman coding to propose the first reversible data hiding in encrypted HDR images in the Radiance RGBE format. Because of the high similarity among the exponent channel values of neighboring pixels, we directly applied multi-MSB prediction in our proposed preprocessing procedure, yielding considerably increased embedding capacity. We also proposed a novel image encryption method to maintain the characteristics of the images. Subsequently, a distortion-free data hiding algorithm, namely the homogeneity index modification algorithm, was added to further increase embedding capacity. The experimental results demonstrate the feasibility of the proposed algorithm and its ability to increase embedding capacity, embedding rate, and image privacy, support two data hiders, and enable reversibility and separability.
显示于类别:	[行動商務與多媒體應用學系] 期刊論文

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