A Recursive Reversible Data Hiding in Encrypted Images

A Recursive Reversible Data Hiding in Encrypted Images Method with a Very High Payload Source: IEEE Transactions on Multimedia( Early Access ), 06 April 2020 Author: P. Puteaux and W. Puech Speaker: Lin Li(李琳) Date: 2020/08/06 1

Outline • Introduction • Related works • Proposed scheme • Experimental results • Conclusions 2

Introduction 3

Related works (a). VRAE (b). VRBE RDHEI 4

MED (Median Edge Detector) 5

PE consideration . . . 6

Proposed scheme(1/10) Fig. 1: Global overview of the encoding phase of our proposed recursive RDHEI method. 7

Proposed scheme(2/10) 8

Proposed scheme(3/10) 9

Proposed scheme(4/10) MSB: k = 0 10

Proposed scheme(5/10) 11

Proposed scheme(6/10) 12

• 109 92 105 136 PE consideration: pred = 92, inv = 8, ∆ = 44, ∆inv = 84 13

• 66 68 158 76 0 76 pred 128 158 140 inv 204 255 14

• 158 79 115 143 PE consideration: pred = 79, inv = 15, ∆ = 64, ∆inv = 64, x = 65 15

Proposed scheme(10/10) 16

Experimental results (1/5) 17

Experimental results (2/5) 18

Experimental results (3/5) 19

Experimental results (4/5) 20

Experimental results (5/5) [4]. K. Chen and C. -C. Chang, “High-capacity reversible data hiding in encrypted images based on extended run-length coding and block-based MSB plane rearrangement, ” Journal of Visual Communication and Image Representation, vol. 58, pp. 334– 344, 2019. [16]. P. Puteaux and W. Puech, “An efficient MSB prediction-based method for highcapacity reversible data hiding in encrypted images, ” IEEE Transactions on Information Forensics and Security, vol. 13, no. 7, pp. 1670– 1681, 2018. [17]. ——, “EPE-based huge-capacity reversible data hiding in encrypted images, ” in IEEE Workshop on Information Forensics and Security. IEEE, 2018, pp. 1– 7. [18]. Y. Puyang, Z. Yin, and Z. Qian, “Reversible data hiding in encrypted images with two-MSB prediction, ” in IEEE Workshop on Information Forensics and Security. IEEE, 2018, pp. 1– 7. [26]. S. Yi and Y. Zhou, “Separable and reversible data hiding in encrypted images using parametric binary tree labeling, ” IEEE Transactions on Multimedia, vol. 21, no. 1, pp. 51– 64, 2019. 21

Thanks for your listening! 22