Improving the Reversible LSB Matching Scheme Based on the Likelihood Re-Encoding Strategy
In 2018, Tseng et al. proposed a dual-image reversible embedding method based on the modified Least Significant Bit matching (LSB matching) method. This method improved on the dual-image LSB matching method proposed by Lu et al. In Lu et al.’s scheme, there are seven situations that cannot be restor...
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doaj-0e6188363bfb4e86b10c057038fa28be2021-05-31T23:26:25ZengMDPI AGEntropy1099-43002021-05-012357757710.3390/e23050577Improving the Reversible LSB Matching Scheme Based on the Likelihood Re-Encoding StrategyTzu-Chuen Lu0Ping-Chung Yang1Biswapati Jana2Department of Information Management, Chaoyang University of Technology, Taichung 41349, TaiwanDepartment of Information Management, Chaoyang University of Technology, Taichung 41349, TaiwanDepartment of Computer Science, Vidyasagar University, Midnapore 721102, IndiaIn 2018, Tseng et al. proposed a dual-image reversible embedding method based on the modified Least Significant Bit matching (LSB matching) method. This method improved on the dual-image LSB matching method proposed by Lu et al. In Lu et al.’s scheme, there are seven situations that cannot be restored and need to be modified. Furthermore, the scheme uses two pixels to conceal four secret bits. The maximum modification of each pixel, in Lu et al.’s scheme, is two. To decrease the modification, Tseng et al. use one pixel to embed two secret bits and allow the maximum modification to decrease from two to one such that the image quality can be improved. This study enhances Tseng et al.’s method by re-encoding the modified rule table based on the probability of each hiding combination. The scheme analyzes the frequency occurrence of each combination and sets the lowest modified codes to the highest frequency case to significantly reduce the amount of modification. Experimental results show that better image quality is obtained using our method under the same amount of hiding payload.https://www.mdpi.com/1099-4300/23/5/577dual imaging techniquereversible data hidingleast-significant-bit matchingre-encoding technique |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tzu-Chuen Lu Ping-Chung Yang Biswapati Jana |
spellingShingle |
Tzu-Chuen Lu Ping-Chung Yang Biswapati Jana Improving the Reversible LSB Matching Scheme Based on the Likelihood Re-Encoding Strategy Entropy dual imaging technique reversible data hiding least-significant-bit matching re-encoding technique |
author_facet |
Tzu-Chuen Lu Ping-Chung Yang Biswapati Jana |
author_sort |
Tzu-Chuen Lu |
title |
Improving the Reversible LSB Matching Scheme Based on the Likelihood Re-Encoding Strategy |
title_short |
Improving the Reversible LSB Matching Scheme Based on the Likelihood Re-Encoding Strategy |
title_full |
Improving the Reversible LSB Matching Scheme Based on the Likelihood Re-Encoding Strategy |
title_fullStr |
Improving the Reversible LSB Matching Scheme Based on the Likelihood Re-Encoding Strategy |
title_full_unstemmed |
Improving the Reversible LSB Matching Scheme Based on the Likelihood Re-Encoding Strategy |
title_sort |
improving the reversible lsb matching scheme based on the likelihood re-encoding strategy |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2021-05-01 |
description |
In 2018, Tseng et al. proposed a dual-image reversible embedding method based on the modified Least Significant Bit matching (LSB matching) method. This method improved on the dual-image LSB matching method proposed by Lu et al. In Lu et al.’s scheme, there are seven situations that cannot be restored and need to be modified. Furthermore, the scheme uses two pixels to conceal four secret bits. The maximum modification of each pixel, in Lu et al.’s scheme, is two. To decrease the modification, Tseng et al. use one pixel to embed two secret bits and allow the maximum modification to decrease from two to one such that the image quality can be improved. This study enhances Tseng et al.’s method by re-encoding the modified rule table based on the probability of each hiding combination. The scheme analyzes the frequency occurrence of each combination and sets the lowest modified codes to the highest frequency case to significantly reduce the amount of modification. Experimental results show that better image quality is obtained using our method under the same amount of hiding payload. |
topic |
dual imaging technique reversible data hiding least-significant-bit matching re-encoding technique |
url |
https://www.mdpi.com/1099-4300/23/5/577 |
work_keys_str_mv |
AT tzuchuenlu improvingthereversiblelsbmatchingschemebasedonthelikelihoodreencodingstrategy AT pingchungyang improvingthereversiblelsbmatchingschemebasedonthelikelihoodreencodingstrategy AT biswapatijana improvingthereversiblelsbmatchingschemebasedonthelikelihoodreencodingstrategy |
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1721417466613071872 |