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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
Volume - 9   Issue - 2    |    Publication Date - March / April 2015  Table of Contents
Real Time, Smart Phone, Android, Image Watermarking, Extreme Learning Machine (ELM), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT).
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
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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