Download presentation
Presentation is loading. Please wait.
Published byPavel Čáp Modified over 5 years ago
1
A novel two-in-one image secret sharing scheme based on perfect black visual cryptography
Source:Journal of Real-Time Image Processing, vol.14, pp.41-50, 2016 Authors:Peng Li, Ching-Nung Yang, Qian Kong Speaker :Xiao-Shuang Li Date : /06/21
2
Outline Introduction Related Work Proposed Scheme Experimental Results
Conclusions
3
Introduction Two-in-one ISS (TiOISS) Original image Shadow 1 Shadow 2
Previewed image Reconstructed image
4
Related Work (1/4) Perfect black VCS (PBVCS)
The ‘OR’-ed vector of any k rows of consists of all ‘1’ Example: (2,3)- PBVCS Basis matrices:
5
Related Work (2/4) Sharing Secret image Shadow 1 Shadow 2 Shadow 3
Stacking
6
Related Work (3/4) Pixel processing with Boolean operations
1. Encoding process with m=3 A: Un-processed m gray secret pixels as a block : Randomly generated block : Security mask
7
Related Work (4/4) 2. Decoding process with m=3
8
Proposed Scheme(1/5) Construct gray share matrix Example: (2,3)- PBVCS
Gray basis matrices : Randomly generated : the grayscale values are come from
9
Proposed Scheme(2/5) A diagram of embedding in black share matrix
10
Proposed Scheme(3/5) The flowchart of the proposed TiOISS scheme
11
Proposed Scheme(4/5) Security and contrast conditions
1. Security condition 2. Contrast condition
12
Proposed Scheme(5/5) The construction methods of PBVCS
(2,n)-VCS by Naor and Shamir’s scheme (2,n)-PBVCS scheme from (2,n)-VCS
13
Experimental results(1/3)
Secret image 256*256 pixels Encoded image S’ 256*512 pixels Shadow 1 350*750 Shadow 2 350*750 Shadow 3 350*750 Previewed secret image
14
Experimental results(2/3) The example using qGVCS
Revealed image q=7 390*750 pixels a=0.19 Revealed image q=6 455*750 pixels a=0.26 Revealed image q=5 545*750 pixels a=0.29
15
Experimental results(3/3)
16
Conclusions Reveal a vague secret image by stacking
Decoding the grayscale secret image by fewer XOR Embed more information in PBVCS to construct a TiOISS scheme Faster in Decoding than traditional TiOISS
17
Thank you!
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.