Reversible Watermark Using an Accurate Predictor and Sorter Based on Payload Balancing

A series of reversible watermarking technologies have been proposed to increase embedding capacity and the quality of the watermarked image simultaneously. The major skills include difference expansion, histogram shifting, and optimizing embedding order. In this paper, an accurate predictor is propo...

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Published in:ETRI journal Vol. 34; no. 3; pp. 410 - 420
Main Authors: Kang, Sang‐ug, Hwang, Hee Joon, Kim, Hyoung Joong
Format: Journal Article
Language:English
Published: 한국전자통신연구원 01.06.2012
Subjects:
difference expansion
histogram shifting
image processing
Reversible watermarking
security
전자/정보통신공학
ISSN:1225-6463, 2233-7326
Online Access:Get full text
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Abstract A series of reversible watermarking technologies have been proposed to increase embedding capacity and the quality of the watermarked image simultaneously. The major skills include difference expansion, histogram shifting, and optimizing embedding order. In this paper, an accurate predictor is proposed to enhance the difference expansion. An efficient sorter is also suggested to find a more desirable embedding order. The payload is differently distributed into two sub‐images, split like a chessboard pattern, for better watermarked image quality. Simulation results of the accurate prediction and sorter based on the payload balancing method yield generally better performance over previous methods. The gap is wide, in particular, in low payload for natural images. The peak signal‐to‐noise ratio improvement is around 2 dB in low payload ranges.
AbstractList A series of reversible watermarking technologies have been proposed to increase embedding capacity and the quality of the watermarked image simultaneously. The major skills include difference expansion, histogram shifting, and optimizing embedding order. In this paper,an accurate predictor is proposed to enhance the difference expansion. An efficient sorter is also suggested to find a more desirable embedding order. The payload is differently distributed into two sub-images, split like a chessboard pattern, for better watermarked image quality. Simulation results of the accurate prediction and sorter based on the payload balancing method yield generally better performance over previous methods. The gap is wide, in particular, in low payload for natural images. The peak signal-to-noise ratio improvement is around 2 dB in low payload ranges. KCI Citation Count: 10
A series of reversible watermarking technologies have been proposed to increase embedding capacity and the quality of the watermarked image simultaneously. The major skills include difference expansion, histogram shifting, and optimizing embedding order. In this paper, an accurate predictor is proposed to enhance the difference expansion. An efficient sorter is also suggested to find a more desirable embedding order. The payload is differently distributed into two sub‐images, split like a chessboard pattern, for better watermarked image quality. Simulation results of the accurate prediction and sorter based on the payload balancing method yield generally better performance over previous methods. The gap is wide, in particular, in low payload for natural images. The peak signal‐to‐noise ratio improvement is around 2 dB in low payload ranges.
Author Kim, Hyoung Joong
Kang, Sang‐ug
Hwang, Hee Joon
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  fullname: Kim, Hyoung Joong
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Snippet A series of reversible watermarking technologies have been proposed to increase embedding capacity and the quality of the watermarked image simultaneously. The...
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SubjectTerms difference expansion
histogram shifting
image processing
Reversible watermarking
security
전자/정보통신공학
Title Reversible Watermark Using an Accurate Predictor and Sorter Based on Payload Balancing
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