TY  - JOUR
AU  - Majhi, Banshidhar 
AU  - Shalabi, Hasan 
PY  - 2005
TI  - An Improved Scheme for Digital Watermarking Using Functional Link Artificial Neural Network
JF  - Journal of Computer Science
VL  - 1
IS  - 2
DO  - 10.3844/jcssp.2005.169.174
UR  - https://thescipub.com/abstract/jcssp.2005.169.174
AB  - The present study proposes a novel technique for copyright protection by utilizing digital
watermarking of Images. The watermark is embedded and detected by using Functional Link Artificial
Neural Network (FLANN) and Discrete Cosine Transform (DCT). The exhaustive simulation results
of the proposed scheme show improved performance over the existing methods in all cases, i.e. when
the watermarked image is subjected to compression, cropping, sharpening, blurring and noise.
Comparative analysis with an existing neural approach shows the superiority of the proposed scheme
of computational complexity and performance.