Input-Agnostic vs. Input-Specific Image Secret Sharing

In this paper, we focus on the bit-level processing based image secret sharing framework which consists of the so-called input-agnostic and input-specific solutions. It will be demonstrated that both these sub-classes satisfy the essential perfect reconstruction property while making fundamental differences in processing the secret image and protecting the visual data.