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Related Experiment Video

Updated: Dec 7, 2025

Quantifying Intermembrane Distances with Serial Image Dilations
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A compressed secret image sharing method with shadow image verification capability.

Guo Zheng Yang1,2, Lin Tao Liu1,2, Xue Hu Yan1,2

  • 1National University of Defense Technology, Heifei 230037, China.

Mathematical Biosciences and Engineering : MBE
|September 29, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a novel secret image sharing (SIS) method that embeds verification information into shares, preventing unauthorized access. The technique ensures secure data transmission by enabling participants to verify share authenticity before image recovery.

Keywords:
loss tolerancelossless recoverypixel compressionsecret image sharingshadow verification

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Last Updated: Dec 7, 2025

Quantifying Intermembrane Distances with Serial Image Dilations
07:45

Quantifying Intermembrane Distances with Serial Image Dilations

Published on: September 28, 2018

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Area of Science:

  • Cryptography and Information Security
  • Computer Science
  • Digital Image Processing

Background:

  • Secret Image Sharing (SIS) is crucial for secure data transmission, but current methods struggle to detect fake shares from unauthorized participants.
  • Unauthorized access using fake shares poses a significant risk, compromising the security of honest participants' data.
  • Verifying share authenticity before recovery is essential to mitigate these security risks in SIS schemes.

Purpose of the Study:

  • To propose a novel compressed Secret Image Sharing (SIS) scheme with enhanced shadow image verification capabilities.
  • To integrate a verification mechanism into polynomial-based SIS by leveraging concepts from random-grid Visual Secret Sharing (VSS).
  • To ensure secure data transmission by enabling participants to authenticate shares prior to image reconstruction.

Main Methods:

  • A new compressed SIS scheme is proposed, combining polynomial-based SIS and (2,2)-threshold random-grid VSS.
  • A binary share from VSS is embedded as verification information into polynomial-based SIS shares using XOR operations.
  • Participants verify share authenticity by extracting a binary share and performing an XOR operation with a private share before recovery.

Main Results:

  • The proposed scheme successfully enables shadow image verification, preventing the use of fake shares.
  • The method achieves pixel compression, loss tolerance, and lossless recovery of the original secret image.
  • Experimental analysis confirms the effectiveness and advantages of the proposed SIS scheme compared to existing methods.

Conclusions:

  • The novel compressed SIS scheme effectively addresses the challenge of fake share detection in secure data transmission.
  • The integrated verification mechanism enhances security by ensuring only authentic shares are used for image recovery.
  • The scheme offers a robust solution with compression, loss tolerance, and lossless recovery, proving its practical applicability.