.png){kind=icon}
返回
Interpolation-based hiding scheme using the modulus function and re-encoding strategy
.png){kind=icon}
PRE
AI
DOI：10.1016/j.sigpro.2017.07.025.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Biswapati et al. proposed a interpolation-based hiding scheme. The scheme directly conceals the information, which records the position of the modified pixel to generate the stego-image. The position value is very large, thus creating a large image distortion. This study reduces the value range of the position values and re-encodes the values to reduce the distortion. The proposed scheme examines the probabilities for the position values and re-encodes the value according to its occurrence number. A re-encode function is used to obtain the rank of the position value in descending order. The most frequent position value is re-encoded to zero. The re-encoded codes are positive numbers, and the values of the codes are still large. To narrow down the value, the re-encoded codes are ciphered to generate mapping codes with negative and positive numbers. A mapping function is proposed to map the re-encoded code to the mapping code. The mapping code is half of the re-encoded code such that the image distortion becomes small. The proposed scheme uses different sizes of embedding blocks to control the hiding rate and image quality. Compared with other state-of-the-art methods, the proposed scheme is better in terms of hiding payload and image quality. (C) 2017 Elsevier B.V. All rights reserved.
Keyword:
Image interpolation
Reversible information hiding
Re-encoding
RS analysis
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。