Reversible data hiding based on multiple histograms modification and deep neural networks

作者：

Highlights：

• The proposed method is based on multiple histograms modification and deep neural networks for low-distortion embedding.

• This model can generate multiple histograms with unequal-sizes to offer more flexibility.

• We design an entropy-based strategy for the efficient selection of optimal expansion bins.

• The proposed method provides an intelligent way for establishing multiple histograms.

摘要

•The proposed method is based on multiple histograms modification and deep neural networks for low-distortion embedding.•This model can generate multiple histograms with unequal-sizes to offer more flexibility.•We design an entropy-based strategy for the efficient selection of optimal expansion bins.•The proposed method provides an intelligent way for establishing multiple histograms.

论文关键词：Reversible data hiding,Multiple histograms modification,Dynamical multiple histograms generation,Deep neural networks

论文评审过程：Received 23 August 2020, Revised 5 November 2020, Accepted 16 December 2020, Available online 26 December 2020, Version of Record 30 December 2020.

论文官网地址：https://doi.org/10.1016/j.image.2020.116118