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1. TOWARDS PRACTICAL SELF-EMBEDDING FOR
JPEG-COMPRESSED DIGITAL IMAGES
ABSTRACT
This paper deals with the design of a practical self-recovery mechanism for lossy
compressed JPEG images. We extend a recently proposed model of the content reconstruction
problem based on digital fountain codes to take into account the impact of emerging watermark
extraction and block classification errors. In contrast to existing methods, our scheme guarantees
a high and stable level of reconstruction quality. Instead of introducing reconstruction artifacts,
emerging watermark extraction errors penalize the achievable tampering rates. We introduce new
mechanisms that allow for handling high-resolution and color images efficiently. In order to
analyze the behavior of our scheme, we derive an improved model to calculate the reconstruction
success probability. We introduce a new hybrid mechanism for spreading the reference
information over the entire image, which allows to find a good balance between the achievable
tampering rates and the computational complexity. Such an approach reduced the watermark
embedding time from the order of several minutes to the order of single seconds, even on mobile
devices.