A Scalable Reversible Data Embedding Method with progressive quality degradation functionality
作者：
Highlights：
• Realize quality degradation by using external data insertion.
• Achieve scalability in both carrier capacity and perceptual image quality.
• Eliminate expensive pre/post processing in conventional histogram shifting methods.
• Embed up to ~2.88 bits per pixel in Caltech101 dataset.
• Achieve complete reversibility.
摘要
Highlights•Realize quality degradation by using external data insertion.•Achieve scalability in both carrier capacity and perceptual image quality.•Eliminate expensive pre/post processing in conventional histogram shifting methods.•Embed up to ~2.88 bits per pixel in Caltech101 dataset.•Achieve complete reversibility.
论文关键词：Scalable carrier capacity,Progressive quality degradation,HAM,Reversible
论文评审过程：Received 21 March 2013, Revised 23 July 2013, Accepted 8 September 2013, Available online 25 September 2013.
论文官网地址：https://doi.org/10.1016/j.image.2013.09.001
