DocumentCode
1926944
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.
fYear
2006
fDate
38869
Firstpage
5
Lastpage
8
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing and Communications, 48th International Symposium ELMAR-2006 focused on
Conference_Location
Zadar
ISSN
1334-2630
Print_ISBN
953-7044-03-3
Type
conf
DOI
10.1109/ELMAR.2006.329502
Filename
4127475
Link To Document