1 / 12

A multiple-level visual secret-sharing scheme without image size expansion

A multiple-level visual secret-sharing scheme without image size expansion. Source: Information Sciences, Vol. 177, Issue. 21, November 1, 2007, pp. 4696-4710. Authors:Yung-Fu Chen, Yung-Kuan Chan, Ching-Chun Huang, Meng-Hsiun Tsai and Yen-Ping Chu Speaker:Chia-Ming Yeh

gastelum
Download Presentation

A multiple-level visual secret-sharing scheme without image size expansion

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. A multiple-level visual secret-sharing scheme without image size expansion Source: Information Sciences, Vol. 177, Issue. 21, November 1, 2007, pp. 4696-4710. Authors:Yung-Fu Chen, Yung-Kuan Chan, Ching-Chun Huang, Meng-Hsiun Tsai and Yen-Ping Chu Speaker:Chia-Ming Yeh Date: 05/28/2008

  2. Outline • Introduction • Proposed scheme • Experiment results • Conclusions

  3. Introduction (1/2)

  4. Introduction (2/2) • Image without Image Size Expansion • Pixel by Pixel Ryo Ito’s method ( white pixel) ( black pixel)

  5. Proposed Scheme (1/5) • Image without Image Size Expansion • Block by Block block size s = 4 range l = s/2 ~ s

  6. Proposed Scheme (2/5) • (k , k) MLVSS (Multiple-Level Visual Secret-sharing ) Scheme • block (s pixels) by block (s pixels) • Two types of techniques, histogram width-equalization and histogram depth-equalization Create gray-scale histogram Two types of techniques Encryption l Share Image 1 ( 256 ×256 pixels ) Gray-scale secret image ( 256 × 256 pixels ) Reconstructed image (256 × 256 pixels ) Share Image 2 ( 256 × 256 pixels )

  7. Proposed Scheme (3/5) • Ex : (2,2) MLVSS scheme, 256 pixel × 256 pixel image, s = 4 (2×2 block) Min = 19 Max = 206 Pixels = 65536 Gray-scale histogram Gray-scale secret image average color = 65 Secret block

  8. Proposed Scheme (4/5) • Histogram Width-equalization • [ , ] with , the secret block is arranged into • Ex : Min = 19, Max = 206, s = 4, average color = 65 [ 62.3×l +19 , 62.3(l+ 1 )+19 ] Secret block average color = 65

  9. Proposed Scheme (5/5) • Histogram Depth-equalization • , the secret block is arranged into • Ex : 256 × 256 secret image, c = 65, [21845.3×l, 21845.3(l+ 1 )] , Secret block average color = 65

  10. Experimental Results (1/2) width’s scheme depth’s scheme

  11. Experimental Results (2/2) Ryo Ito’s scheme Yang’s scheme width’s scheme depth’s scheme

  12. Conclusions • Histogram depth-equalization often have better reconstructed secret image quality • Proposed scheme improves the quality of reconstructed secret image without expanding the image size

More Related