Reversible Data Hiding in Encrypted Image Based on (7, 4) Hamming Code and UnitSmooth Detection.

Area of Science:

• Computer Science
• Information Security
• Digital Image Processing

Background:

• Reversible data hiding in encrypted images (RDHEI) is crucial for secure data transmission and privacy protection in cloud storage.
• Existing RDHEI algorithms require improvements in hiding capacity, security, and separability.
• RDHEI offers dual functionality: privacy preservation and secret information transmission.

Purpose of the Study:

• To propose a novel RDHEI scheme, termed HUD-RDHEI, that improves upon current methods.
• To enhance hiding capacity, security, and separability in reversible data hiding.
• To ensure the visual quality of decrypted images matches the original cover images.

Main Methods:

• The proposed HUD-RDHEI scheme utilizes (7, 4) Hamming Code for data embedding.
• Novel prediction and detection functions are incorporated into the scheme.
• Performance is evaluated using the BOWS-2 and BOSSBase image databases.

Main Results:

• The HUD-RDHEI scheme achieves an average pure embedding rate (ER) of up to 2.556 bpp on BOSSBase and 2.530 bpp on BOWS-2.
• Experimental results demonstrate high peak signal to noise ratio (PSNR), indicating excellent image quality.
• The scheme guarantees security and separability, with no incorrect extracted bits during data extraction.

Conclusions:

• The proposed HUD-RDHEI scheme effectively balances high hiding capacity with robust security.
• The method ensures perfect visual quality of the decrypted image, identical to the original.
• HUD-RDHEI presents a valuable advancement for secure data transmission and privacy in digital imaging.