Published Paper Details:

Visual Cryptography (VC) is a form of encryption that enables secure sharing of visual information. Initially introduced by Naor and Shamir (1994), VC divides an image into multiple shares that individually reveal no information, but when combined, the original image can be reconstructed. This novel cryptographic technique does not require complex algorithms or decryption keys, instead utilizing the human visual system for decoding. Over time, VC has evolved through various enhancements and integrations with other cryptographic techniques, such as chaotic encryption, to address limitations like poor quality of image reconstruction and inefficiencies in share generation. Further research has also expanded VC's applicability to color images, securing not just binary images but a broader range of visual data. Additionally, advancements in VC have focused on its implementation in secure image transmission, medical imaging, and digital media security. Despite its advantages, challenges such as the preservation of image quality and handling large image sizes continue to persist. This paper explores these advancements and provides an overview of VC's applications, challenges, and future prospects.