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2020 – 2021
#13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6.
Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373
Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com
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.

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Towards practical self embedding for jpeg-compressed digital images

  • 1. 2020 – 2021 #13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6. Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373 Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com 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.