Location Identification For Optimizing Fidelity And Robustness Using Swarm Intelligence
 |
International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-12 |
||
| Year of Publication : 2019 | ||
| Authors : Ashish Bansal, Neha Gupta | ||
| DOI : 10.14445/22312803/IJCTT-V67I12P110 |
MLA Style:Ashish Bansal, Neha Gupta "Location Identification For Optimizing Fidelity And Robustness Using Swarm Intelligence" International Journal of Computer Trends and Technology 67.12 (2019):56-57.
APA Style Ashish Bansal, Neha Gupta. Location Identification For Optimizing Fidelity And Robustness Using Swarm Intelligence International Journal of Computer Trends and Technology, 67(12),56-57.
Abstract
Digital Watermarking has important characteristics of Robustness and Fidelity. It is a crucial decision to find locations where watermark bits need to be inserted in order to optimize these desirable characteristics. PSO can be helpful in arriving at the decision of finding locations where the watermark bits can be inserted. The usage of this methodology has generated optimistic results in favor of using this method for the sake of watermark embedding and extraction.
Reference
[1] R.Schyndel, A.Tirkel and C.Osborne, “A Digital Watermark” in Proc. IEEE International conference on Image Processing, 1994, vol.2,pp.86-92.
[2] Xia-Mu Niuand Sheng-He Sun, “Multiresolution Digital Watermarking for Still Image” in Proc. IEEE Neural Networks for Signal Processing, 2000,vol.2,
[3] Ping Dong, Jovan G.Brankov, Nilolas Palastsanos, YongyiYang, FranckDavoine,“SignalCompression Digital Watermarking Robust Geometric
[4] Fredric M.Hamand Ivica Kostanic, “Principles of Neurocomputing for Science & Engineering”, Mc.GrawHill, Singapore, 2001, pp.136-140.
[5] Yu,P.T., Tsai H.H., and Lin J.S., “Digital Watermarking based on Neural Networks for Color Images , Signal processing, vol.81,pp.663-671.
[6] J.R.Hernandez, F.Perez Gonzalez and J.M.Rodriguez, “Data Hiding for Copyright Protection of Still Images”, National conference in image processing,Faislabad,2001.
[7] Hwang M.S., Chang C.C. and Hwang K.F.,”Digital Watermarking of Images using Neural Networks”,Journal of electronic imaging, 2000, vol.9,pp.548-555.
[8] CharrierM.,Cruz,D.S. and Larsson M., “JPEG 2000 , the Next Millennium Compression Standard for Still Images” in Proc. IEEE InternationalConference.
[9] Distortions”, IEEE Transaction on image processing, December 2005,vol.14(12).
[10] Charkari N.M. and Chahooki M.A.Z., “A Robust High Capacity WatermarkingBased on DCT and Spread Spectrum” in IEEE International Symposium of Signal Processing and Information Technology, 2007,pp.194-197.
Keywords
Robustness, fidelity, Watermarking, PSO, Swarm Intelligence