Abstract
Reversible watermarking is a kind of digital watermarking which is able to recover the original image exactly as well as extracting hidden message. Many algorithms have aimed at lower image distortion in higher embedding capacity. In the reversible data hiding, the role of efficient predictors is crucial. Recently, adaptive predictors using least square approach have been proposed to overcome the limitation of the fixed predictors. This paper proposes a novel reversible data hiding algorithm using least square predictor via least absolute shrinkage and selection operator (LASSO). This predictor is dynamic in nature rather than fixed. Experimental results show that the proposed method outperforms the previous methods including some algorithms which are based on the least square predictors.
| Original language | English |
|---|---|
| Article number | 42 |
| Journal | Eurasip Journal on Image and Video Processing |
| Volume | 2016 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2016 Dec 1 |
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ASJC Scopus subject areas
- Signal Processing
- Information Systems
- Electrical and Electronic Engineering
Cite this
Reversible data hiding using least square predictor via the LASSO. / Hwang, Hee Joon; Kim, Sung Hwan; Kim, Hyong Joong.
In: Eurasip Journal on Image and Video Processing, Vol. 2016, No. 1, 42, 01.12.2016.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Reversible data hiding using least square predictor via the LASSO
AU - Hwang, Hee Joon
AU - Kim, Sung Hwan
AU - Kim, Hyong Joong
PY - 2016/12/1
Y1 - 2016/12/1
N2 - Reversible watermarking is a kind of digital watermarking which is able to recover the original image exactly as well as extracting hidden message. Many algorithms have aimed at lower image distortion in higher embedding capacity. In the reversible data hiding, the role of efficient predictors is crucial. Recently, adaptive predictors using least square approach have been proposed to overcome the limitation of the fixed predictors. This paper proposes a novel reversible data hiding algorithm using least square predictor via least absolute shrinkage and selection operator (LASSO). This predictor is dynamic in nature rather than fixed. Experimental results show that the proposed method outperforms the previous methods including some algorithms which are based on the least square predictors.
AB - Reversible watermarking is a kind of digital watermarking which is able to recover the original image exactly as well as extracting hidden message. Many algorithms have aimed at lower image distortion in higher embedding capacity. In the reversible data hiding, the role of efficient predictors is crucial. Recently, adaptive predictors using least square approach have been proposed to overcome the limitation of the fixed predictors. This paper proposes a novel reversible data hiding algorithm using least square predictor via least absolute shrinkage and selection operator (LASSO). This predictor is dynamic in nature rather than fixed. Experimental results show that the proposed method outperforms the previous methods including some algorithms which are based on the least square predictors.
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U2 - 10.1186/s13640-016-0144-3
DO - 10.1186/s13640-016-0144-3
M3 - Article
AN - SCOPUS:85002635435
VL - 2016
JO - Eurasip Journal on Image and Video Processing
JF - Eurasip Journal on Image and Video Processing
SN - 1687-5176
IS - 1
M1 - 42
ER -