Title
Data Hiding in Halftone Images using Error Diffusion Halftoning with Adaptive Thresholding
Abstract
Halftoning is the process of representing a gray-level image with a binary image. Data hiding is the technique of embedding data in an image without affecting its perceptual quality. DHSED is a watermarking algorithm to embed hidden binary visual patterns in two error diffused halftone images such that the hidden patterns can be visually inspected when the images are overlaid. A drawback of the DHSED method is that if the image has large areas of the same grey-level, hiding data causes some edge effects which may reveal the hidden data. In this paper we propose an improvement to the DHSED which fairly reduces the edge effects
Year
DOI
Venue
2006
10.1109/CCECE.2006.277391
CCECE
Keywords
Field
DocType
image representation,watermarking,gray-level image,error diffusion,error diffusion halftoning,image segmentation,adaptive thresholding,data encapsulation,data hiding,halftoning,halftone image,binary image,computational modeling,stochastic processes,data mining,edge effect,visual inspection,pixel,steganography,displays
Computer vision,Digital watermarking,Embedding,Pattern recognition,Computer science,Binary image,Information hiding,Halftone,Image segmentation,Artificial intelligence,Thresholding,Binary number
Conference
ISSN
ISBN
Citations 
0840-7789
1-4244-0038-4
2
PageRank 
References 
Authors
0.38
4
4
Name
Order
Citations
PageRank
Ahmad Movahedian Attar121.40
Omid Taheri2413.64
Saeed Sadri313611.28
Rasoul Amir Fattahi420.38