Image encryption hiding algorithm based on digital time-varying delay chaos model and compression sensing technique.

Area of Science:

• Computer Science
• Cryptography
• Image Processing

Background:

• Existing image encryption methods often produce noticeable cipher images, increasing vulnerability to attacks.
• Current steganography techniques for hiding encrypted images in carriers can require large carrier files, consuming significant bandwidth.

Purpose of the Study:

• To develop an image encryption technique that embeds color secret images into carrier images of equal or smaller size than the original.
• To overcome the bandwidth limitations associated with traditional carrier image methods in steganography.

Main Methods:

• Sparse representation of the original image using Discrete Wavelet Transform (DWT).
• Generation of pseudo-random sequences via a time-varying delay chaotic model to construct a measurement matrix for image compression and encryption.
• Image embedding using Singular Value Decomposition (SVD) to create the final carrier image.

Main Results:

• Successfully embedded a color secret image into a carrier image that is equal to or smaller than the original image size.
• The proposed method effectively reduces bandwidth requirements compared to existing approaches.
• The combination of chaotic compressed sensing and SVD ensures secure and efficient image embedding.

Conclusions:

• The developed chaotic compressed sensing model offers an efficient solution for embedding encrypted images into compact carrier images.
• This approach enhances security and reduces bandwidth consumption in image encryption and steganography.
• The method provides a practical alternative for secure image transmission in bandwidth-constrained environments.