Adaptive Image Reversible Data Hiding Error Prediction Algorithm Based on Multiple Linear Regression

Xiao Yu Wang, Bin Ma, Jian Li, Yun Qing Shi

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

An adaptive error prediction method based on multiple linear regression algorithm to improve the reversible information hiding capacity is proposed. The inner relationship among pixels around the object pixel is learned adaptively based on the consistency feature of pixels distributing in local area of natural images, and a multiple linear regression function matrix is built to express the relationship. The object pixel is predicted accurately with the linear function learned from its neighboring pixels, rather than simply with the arithmetic combination of surrounding pixels. Experimental results show that the multiple linear regression based adaptive image error prediction algorithm can effectively enhance the reversible data embedding capability compared to other advanced error prediction methods.

Original languageEnglish (US)
Pages (from-to)362-370
Number of pages9
JournalYingyong Kexue Xuebao/Journal of Applied Sciences
Volume36
Issue number2
DOIs
StatePublished - Mar 2018

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)
  • Engineering(all)

Keywords

  • Embedding capacity
  • Multiple linear regression
  • Reversibility
  • Reversible data hiding

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