Bit-plane compression technology for digitally driven near-eye displays

2021 ◽  
Vol 36 (6) ◽  
pp. 869-875
Author(s):  
Yuan JI ◽  
◽  
Yuan-sheng SONG ◽  
Yuan-sheng CHEN ◽  
Wen-dong CHEN ◽  
...  
Keyword(s):  
2016 ◽  
Vol 44 (3) ◽  
pp. 329-340 ◽  
Author(s):  
Jungrae Kim ◽  
Michael Sullivan ◽  
Esha Choukse ◽  
Mattan Erez
Keyword(s):  

2021 ◽  
Vol 68 (2) ◽  
pp. 2633-2649
Author(s):  
Jianyi Liu ◽  
Ru Zhang ◽  
Jing Li ◽  
Lei Guan ◽  
Cheng Jie ◽  
...  

2017 ◽  
Vol 40 (2) ◽  
pp. 161-169 ◽  
Author(s):  
Yining Liu ◽  
Qi Zhong ◽  
Jian Shen ◽  
Chin-Chen Chang

2020 ◽  
Vol 51 (S1) ◽  
pp. 19-22
Author(s):  
Yuansheng Song ◽  
Yuansheng Chen ◽  
Wendong Chen ◽  
Tingzhou Mu ◽  
Yuan Ji

Reversible data hiding (RDH) is an active research area in the field of information security. The RDH scheme allows the transmission of a secret message by embedding it into a cover image, and the receiver can recover the original cover image along with the extraction of the secret message. In this paper, we propose a bit plane compression based RDH scheme to hide a sequence of secret message bits into a grayscale image. In the proposed method, a selected bit plane of the cover image will be compressed using run-length encoding (RLE) scheme. Further, the RLE sequence has been efficiently encoded as a binary sequence using Elias gamma encoding method. The Elias gamma encoded bit sequence concatenated with the secret message bits are used to replace the selected bit plane after performing a sequence of Arnold transform. The Arnold transform helps to find a new scrambled version of the bit plane which is very close to the original bit plane to ensure the visual quality of the stego image. The RLE is a lossless compression technique, therefore recovery of the original image is possible by the receiver. The experimental study of the proposed scheme on the images from standard image dataset (USC-SIPI image dataset) shows that the proposed scheme outperforms the existing scheme in terms of the visual quality of the stego image without compromising the data embedding rate.


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