A multiple linear regression based high-performance error prediction method for reversible data hiding

Document Type

Conference Proceeding

Publication Date

1-1-2018

Abstract

In this paper, a high-performance error-prediction method based on multiple linear regression (MLR) algorithm is proposed to improve the performance of reversible data hiding (RDH). The MLR matrix function indicates the inner correlation between the pixels and its neighbors is established adaptively according to the consistency of pixels in local area of a natural image, and thus the object pixel is predicted accurately with the achieved MLR function that satisfies the consistency of the neighboring pixels. Compared with conventional methods that only predict the object pixel with simple arithmetic combination of its surroundings pixel, the experimental results show that the proposed method can provide a sparser prediction-error image for data embedding, and thus improves the performance of RDH more effectively than those state-of-the-art error prediction algorithms.

Identifier

85059664100 (Scopus)

ISBN

[9783030017033]

Publication Title

Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst

External Full Text Location

https://doi.org/10.1007/978-3-030-01704-0_25

ISSN

18678211

First Page

441

Last Page

452

Volume

255

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