Paper Info
Title
Reversible Data Hiding in Block Truncation Coding Compressed Images Using Quantization Level Swapping and Shifting.
Abstract
The existing reversible data hiding methods for block truncation coding (BTC) compressed images often utilize difference expansion or histogram shifting technique for data embedment. Although these methods effectively embed data into the compressed codes, the embedding operations may swap the numerical order of the higher and lower quantization levels. Since the numerical order of these two quantization levels can be exploited to carry additional data without destroying the quality of decoded image, the existing methods cannot take the advantages of this property to embed data more efficiently. In this paper, we embed data by shifting the higher and lower quantization levels in opposite direction. Because the embedment does not change numerical order of quantization levels, we exploit this property to carry additional data without further reducing the image quality. The proposed method performs no-distortion embedding if the payload is small, and performs reversible data embedding for large payload. The experimental results show that the proposed method offers better embedding performance over prior works in terms of payload and image quality.
Year
DOI
Venue
2016
10.3837/tiis.2016.06.020
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Keywords
Field
DocType
BTC,Difference expansion,Histogram shifting,Quantization levels
Histogram,Block Truncation Coding,Computer science,Embedment,Information hiding,Image quality,Artificial intelligence,Distributed computing,Payload,Computer vision,Embedding,Algorithm,Quantization (signal processing)
Journal
Volume
Issue
ISSN
10
6
1976-7277
Citations 
PageRank 
References 
1
0.35
9
Authors
4
Name
Order
Citations
PageRank
Wien Hong161830.63
Shuozhen Zheng210.35
Tungshou Chen3108289.79
Chien-Che Huang441.10