International Journal of Image Processing | |
Realtime Energy Efficient Digital Image Watermarking on Mobile Devices using Android | |
Durgansh Sharma1  Tanushyam Chattopadhyay1  Manish Prateek1  | |
[1] $$ | |
关键词: Real Time; Smart Phone; Android; Image Watermarking; Extreme Learning Machine (ELM); Discrete Cosine Transform (DCT); Discrete Wavelet Transform (DWT).; | |
DOI : | |
来源: Computer Science Journals | |
【 摘 要 】
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.
【 授权许可】
Unknown
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO201912040511302ZK.pdf | 1324KB | download |