scholarly journals Look-up Table Based Reversible Data Hiding for Error Diffused Halftone Images

Informatica ◽  
2007 ◽  
Vol 18 (4) ◽  
pp. 615-628 ◽  
Author(s):  
Jeng-Shyang Pan ◽  
Hao Luo ◽  
Zhe-Ming Lu
2020 ◽  
Vol 173 ◽  
pp. 107605 ◽  
Author(s):  
Xiaolin Yin ◽  
Wei Lu ◽  
JunHong Zhang ◽  
Wanteng Liu

2019 ◽  
Vol 9 (24) ◽  
pp. 5311 ◽  
Author(s):  
Yu-Xia Sun ◽  
Bin Yan ◽  
Jeng-Shyang Pan ◽  
Hong-Mei Yang ◽  
Na Chen

In recent years, reversible data hiding (RDH) has become a research hotspot in the field of multimedia security that has aroused more and more researchers’ attention. Most of the existing RDH algorithms are aiming at continuous-tone images. For RDH in encrypted halftone images (RDH-EH), the original cover image cannot be recovered losslessly after the watermark is extracted. For some application scenarios such as medical or military images sharing, reversibility is critical. In this paper, a reversible data hiding scheme in encrypted color halftone images (RDH-ECH) is proposed. In the watermark embedding procedure, the cover image is copied into two identical images to increase redundancy. We use wet paper code to embed the watermark into the image blocks. Thus, the receiver only needs to process the image blocks by the check matrices in order to extract the watermarks. To increase embedding capacity, we embed three layers in the embedding procedure and combine the resulting images into one image for convenience of transmission. From the experimental results, it can be concluded that the original image can be restored entirely after the watermarks are extracted. Besides, for marked color halftone images, our algorithm can implement high embedding capacity and moderate visual quality.


2020 ◽  
Vol 79 (37-38) ◽  
pp. 27659-27682
Author(s):  
Yu-Xia Sun ◽  
Qi Li ◽  
Bin Yan ◽  
Jeng-Shyang Pan ◽  
Hong-Mei Yang

2012 ◽  
Vol 263-266 ◽  
pp. 2519-2523
Author(s):  
Mei Yi Wu ◽  
Jia Hong Lee

In this paper, we propose a high capacity reversible data hiding method for error diffused halftone images. It is a challenge to conceal data in halftone images due to their smaller depth. We utilize statistical features of pixel block patterns to embed data. The marked images can be perfectly reconstructed into their original halftone images. Traditional pair-based schemes selected two similar patterns as one pair to toggle one-bit data embedding. We extend the approaches and present a group-based encoding scheme to collect similar patterns into groups for multi-bits embedding. Experimental results show the proposed method can significantly improve the capacity of marked halftone images while preserve the similar marked image quality.


Author(s):  
Xiaolin Yin ◽  
Wei Lu ◽  
Wanteng Liu ◽  
Jing-Ming Guo ◽  
Jiwu Huang ◽  
...  

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