Detection of Orientation-Modulation Embedded Data in Color Printed Natural Images

This article addresses methods for detection of orientation-modulation data embedded in color dispersed-dot-halftone images. Several state-of-the-art methods for detection of orientation-embedded data in printed halftone images have been proposed, however they have only been evaluated independently...

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Vydáno v:Journal of imaging Ročník 4; číslo 4; s. 56
Hlavní autoři: Kitanovski, Vlado, Pedersen, Marius
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.04.2018
Témata:
Algorithms
Color
data embedding
data hiding
Dictionaries
direct binary search
dispersed-dot
Feature extraction
halftoning
Image detection
Methods
Modulation
Orientation
orientation modulation
Principal components analysis
Probabilistic models
Sensors
State of the art
watermark detection
watermarking
United States > US
ISSN:2313-433X, 2313-433X
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Shrnutí:This article addresses methods for detection of orientation-modulation data embedded in color dispersed-dot-halftone images. Several state-of-the-art methods for detection of orientation-embedded data in printed halftone images have been proposed, however they have only been evaluated independently without comparing with each other. We propose an improved detection method, which is using Principal Component Analysis (PCA) components as oriented-feature extractors, and a probabilistic model for the print-and-scan channel for maximum likelihood detection. The proposed detector and four state-of-the-art detectors are compared with each other in terms of correct detection rate, using a comprehensive testing set of printed natural images captured with three different devices. The proposed detector achieves highest correct detection rate using fewer feature extractors than the other methods, and it is significantly more robust to non-calibrated devices used for capturing the printed images. This is mostly due to the improved PCA-based oriented-feature extractors that are responsive to the embedded orientations and robust and insensitive to the other visual content.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2313-433X
2313-433X
DOI:10.3390/jimaging4040056