Visual Cryptography is a cryptographic technique to encrypt visual information like images and text, which doesn’t require any sophisticated computation but a mere human sight-reading to decrypt. Visual Cryptography uses the idea of hiding secrets within images which are divided into multiple shares and then decoded by superimposing the shared images.
This is a Visual Cryptography implementation as part of Cryptography course project (CS350 and CS353). In this project, the following methods are implemented based on the types of images: binary, grayscale, and colored.
- XOR implementation (Binary, Grayscale, and Colour)
- Modular Arithmetic Implementation (Binary, Grayscale, and Colour)
- Pixel expansion implementation (Binary)
- Key + AES encryption implementation (Binary, Grayscale, and Colour)
- Halftone CMYK Decomposition (Colour)
- Bit-Level Decomposition (Grayscale)
We have planned to use PSNR (Peak Signal-to-Noise Ratio) and NCC (Normalized Cross-Correlation) as a metric to check how the final decrypted image is similar(or related) to the original image.
- Shreeraksha R Aithal (181CO149)
- K Krishna Swaroop (181CO125)
- Visual Cryptography
- Applications and usage of visual cryptography: A review
- Visual Cryptography for Gray-scale Images Using Bit-level
- An Implementation of Algorithms in Visual Cryptography in Images
- Copyright protection scheme for digital images using visual cryptography and sampling methods
- Visual Cryptography in Gray Scale Images
- A novel image encryption algorithm using AES and visual cryptography
- Visual cryptography for color images
- Improving Image Quality In Extended Visual Cryptography For Halftone Images With No Pixel Expansion
