DocumentCode :
249272
Title :
Recovering planar projections of printed clustered-dot halftones
Author :
Pollard, Stephen ; Ulichney, Robert ; Gaubatz, Matthew
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
4226
Lastpage :
4230
Abstract :
This paper presents a novel method to recover planar projections (homographies) from perspectively distorted images of clustered-dot halftones. The method uses the variation of the local affine deformation of the halftone (estimated using a Fourier method) to recover the additional projective components. Evidence provided from simulated distortion and mobile capture shows that the approach provides an effective first step in the problem of using mobile device to recover stenographic information embedded in unknown halftone images, as pixel-accurate alignment is needed to recover the data.
Keywords :
Fourier transforms; image processing; steganography; Fourier transform; halftone images; homographies; image distortion; local affine deformation; mobile device; pixel-accurate alignment; planar projection recovery; printed clustered-dot halftones; projective components; stenographic information recovery; Accuracy; Approximation methods; Cameras; Discrete Fourier transforms; Mobile handsets; Fourier Transform; Halftone; Homography; Planar Projection; Stegatone; Vanishing Points;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025858
Filename :
7025858
Link To Document :
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