Open AccessHigh‐payload block‐based data hiding scheme using hybrid edge detector with minimal distortion
Author(s) -
Tseng HsienWen,
Leng HuiShih
Publication year - 2014
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2013.0584
Subject(s) - payload (computing) , canny edge detector , pixel , enhanced data rates for gsm evolution , least significant bit , block (permutation group theory) , edge detection , information hiding , distortion (music) , embedding , mathematics , algorithm , fuzzy logic , detector , deriche edge detector , computer science , computer vision , artificial intelligence , image (mathematics) , image processing , telecommunications , statistics , computer network , amplifier , geometry , bandwidth (computing) , network packet
Data hiding is a technique that is embedding the secret message into the media. In 2010, Chen et al.’ s proposed a scheme combined the ‘Canny’ edge detector and fuzzy edge detector to increase edge pixels, and embedded more secret data into the edge pixels than the non‐edge pixels based on the least‐significant‐bit (LSB) substitution scheme. In this study, the authors use Kaur et al.’ s fuzzy logic‐based algorithm and extend the original design to block‐based design. The experimental results show that the proposed method achieves higher payload with Kaur et al. 's fuzzy logic‐based algorithm, and achieve minimal distortion by selecting the number of edge pixel's embedding length of each block which has minimum mean‐squared error.