Improved Secret Image Sharing Scheme in Embedding Capacity without Underflow and Overflow.

Area of Science:

• Computer Science
• Information Security
• Cryptography

Background:

• Computational secret image sharing (CSIS) is crucial for secure image transmission and storage.
• Existing CSIS methods face challenges with embedding capacity, underflow, and overflow.
• Previous solutions to underflow/overflow often reduce embedding capacity.

Purpose of the Study:

• To propose a novel CSIS scheme that improves embedding capacity.
• To eliminate underflow and overflow situations in CSIS.
• To achieve higher embedding capacity without compromising data integrity.

Main Methods:

• Utilizing differential coding, Huffman coding, and data converting for secret image compression.
• Implementing a pixel mapping matrix embedding method with a novel matrix design.
• Embedding compressed secret image data into a cover image.

Main Results:

• The proposed scheme successfully improves embedding capacity.
• Underflow and overflow situations are effectively eliminated.
• Experimental results validate the enhanced performance and problem resolution.

Conclusions:

• The novel CSIS scheme offers a significant advancement in secure image sharing.
• It provides a robust solution for high-capacity, overflow-free secret image embedding.
• This method addresses key limitations of existing computational secret image sharing techniques.