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Realtime Energy Efficient Digital Image Watermarking on Mobile Devices using Android
Durgansh Sharma, Manish Prateek, Tanushyam Chattopadhyay
Pages - 61 - 68 | Revised - 01-03-2015 | Published - 31-03-2015
Published in International Journal of Image Processing (IJIP)
MORE INFORMATION
KEYWORDS
Real Time, Smart Phone, Android, Image Watermarking, Extreme Learning Machine (ELM), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT).
ABSTRACT
This paper proposes a real time and energy efficient image watermarking scheme using DCT – DWT hybrid transformation. The proposed method is using a 2 – level of quantization on the Y component of true color image captured in real time and low frequency band coefficients are selected for the dataset prepared of size 256 * 10 using these coefficients, which is supplied to Extreme Learning Machine (ELM) a single layer feed forward network. A normalized column vector of size 256 * 1 is generated by ELM for its usage as key sequence for embedding the watermark. This hybrid transforms provide a better imperceptibility and reduction in the time taken by entire watermarking process i.e. within a second, makes it energy efficient and suitable for the proposed smart phone android app for a real time image watermarking.
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Mr. Durgansh Sharma
Jaipuria Institute of Management, Noida - India
durgansh@gmail.com
Professor Manish Prateek
Centre For Information Technology, College of Engineering Studies, UPES, Dehradun, India - India
Dr. Tanushyam Chattopadhyay
R&D, Innovation Lab, Tata Consultancy Services, Kolkata, India - India
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