Compressive Data Hiding: An Unconventional Approach for Improved Color Image Coding
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ompressive Data Hiding: An Unconventional Approach for Improved Color Image Coding Patrizio Campisi Dipartimento di Ingegneria Elettronica, Universitá degli Studi di Roma “Roma Tre,” Via della Vasca Navale 84, 00146 Roma, Italy Email: [email protected]
Deepa Kundur Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada M5S 3G4 Email: [email protected]
Dimitrios Hatzinakos Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada M5S 3G4 Email: [email protected]
Alessandro Neri Dipartimento di Ingegneria Elettronica, Universitá degli Studi di Roma “Roma Tre,” Via della Vasca Navale 84, 00146 Roma, Italy Email: [email protected] Received 30 April 2001 and in revised form 14 September 2001 Traditionally, data hiding and compression have had contradictory goals. The former problem adds perceptually irrelevant information in order to embed data, while the latter removes this irrelevancy and redundancy to reduce storage requirements. In this paper, we use data hiding to help improve signal compression. We take an unconventional approach and consider “piggy-backing” the color information on the luminance component of an image for improved color image coding. Our new technique essentially transforms a given color image into the YIQ color space where the chrominance information is subsampled and embedded in the wavelet domain of the luminance component. Our technique can be used as preprocessing to improve the performance of popular image compression schemes such as SPIHT that are optimized for grayscale image compression. Simulation results demonstrate the superior performance of the proposed technique in comparison to JPEG and straightforward SPIHT. Keywords and phrases: color images, data hiding, compression, multiresolution analysis.
1. INTRODUCTION Data hiding within multimedia has received growing interest in recent years due to its potential for signal captioning, maintaining audit trails in media commerce, and copy protection through the development of digital watermarking technology. By embedding key information with the media itself, it is safe from content separation. Data hiding is the general process by which a discrete information stream is merged within media content by imposing imperceptible changes on the original host signal. One of the main obstacles within the data hiding community has been developing a scheme which is robust to perceptual coding. Perceptual coding refers to the lossy compression of multimedia signals using human perceptual models; the
compression mechanism is based on the premise that minor modifications of the signal representation will not be noticeable in the displayed signal content. These modifications are imposed on the signal in such a way as to reduce the number of information bits required for storage of the content. Human perceptual models are often theoretically and experimentally derived to determine the changes on a signal whi
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