To search, Click below search items. |
| All Published Papers Search Service |
|
|
|
Title |
Highly Efficient Copyright Protection Algorithm for Satellite Imagery Using Turbo Product Codes |
|
Author |
Sara AlMaeeni, Alavi Kunhu and Hussain Al-Ahmad |
| Citation |
Vol. 19 No. 7 pp. 204-214 |
|
Abstract |
Satellite imagery has been used in many applications and fields of research. This paper proposes a novel algorithm used in embedding a serial key information into satellites Imagery. The proposed algorithm is based on encoding the information using turbo product code (TPC) in discrete wavelet transform (DWT) domain. The watermarked imagery was evaluated using a wavelet domain based signal to noise ratio (WSNR), that were proved to be simple and more accurate than the spatial domain peak signal to noise ratio (PSNR) in terms of the objective assessment. Besides, it predicts the image quality based on a particular viewing distance. The evaluation considered color images RGB, YCbCr, and grayscale images. Experimental results show that the proposed algorithm is very efficient in protecting the copyright ownership of the satellite imagery. Also, the proposed algorithm survived various attacks such as JPEG compression, geometrical rotation, resizing, cropping, and filtering. |
|
Keywords |
Watermarking turbo code satellite imagery image copyright. |
|
URL |
