6533b86efe1ef96bd12cb470
RESEARCH PRODUCT
Progressive transmission of secured images with authentication using decompositions into monovariate functions
Frederic TruchetetYohan FougerollePierre-emmanuel Lenisubject
Signal processing[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesImage encryption010309 optics[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0103 physical sciences0202 electrical engineering electronic engineering information engineeringComputer visionElectrical and Electronic EngineeringDigital watermarkingImage resolutionMathematicsSignal processingAuthenticationNetwork packetbusiness.industryWatermarkAtomic and Molecular Physics and OpticsComputer Science ApplicationsSpline (mathematics)Binary dataKolmogorov superposition theorem020201 artificial intelligence & image processingArtificial intelligencebusinessVisible watermarking[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingdescription
International audience; We propose a progressive transmission approach of an image authenticated using an overlapping subimage that can be removed to restore the original image. Our approach is different from most visible water- marking approaches that allow one to later remove the watermark, because the mark is not directly introduced in the two-dimensional image space. Instead, it is rather applied to an equivalent monovariate representation of the image. Precisely, the approach is based on our progressive transmission approach that relies on a modified Kolmogorov spline network, and therefore inherits its advantages: resilience to packet losses during transmis- sion and support of heterogeneous display environments. The marked image can be accessed at any intermedi- ate resolution, and a key is needed to remove the mark to fully recover the original image without loss. Moreover, the key can be different for every resolution, and the images can be globally restored in case of packet losses during the transmission. Our contributions lie in the proposition of decomposing a mark (an overlapping image) and an image into monovariate functions following the Kolmogorov superposition theorem; and in the combi- nation of these monovariate functions to provide a removable visible " watermarking " of images with the ability to restore the original image using a key.
year | journal | country | edition | language |
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2014-04-24 |