Title :
Input-Agnostic vs. Input-Specific Image Secret Sharing
Author :
Lukac, Rastislav ; Plataniotis, Konstantinos N.
Author_Institution :
Edward S. Rogers Sr. Dept. of Electr. & Comput. Eng., Toronto Univ., Ont.
Abstract :
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 subclasses satisfy the essential perfect reconstruction property while making fundamental differences in processing the secret image and protecting the visual data
Keywords :
image reconstruction; bit-level processing; image secret sharing framework; reconstruction property; visual data protection; Cryptography; Digital images; Digital signal processing; Educational institutions; Humans; Image reconstruction; Pixel; Protection; Strontium; Variable structure systems; Image secret sharing; bit-level processing; input-agnostic; input-specific; perfect reconstruction;
Conference_Titel :
Multimedia Signal Processing and Communications, 48th International Symposium ELMAR-2006 focused on
Conference_Location :
Zadar
Print_ISBN :
953-7044-03-3
DOI :
10.1109/ELMAR.2006.329502
