Watermarking Algorithm using Bacterial Foraging Optimization
نویسنده
چکیده
The rapid increase of digitized media because of the proliferation of networked multimedia has created many issues like related to copyright protection, easily copying and transmitting the digital data. This has created the need for various techniques which helps to protect the digital media over the internet. Digital watermarking is one of the solutions. Digital watermarking is a technique which is used to hide the ownership information in the digital media. In this paper, we have implemented a technique based on Bacterial Foraging Optimization (BFO) for watermarking the digital image. The work has been implemented in the MATLAB and the results show its robustness against the various attacks. The quality parameters such as PSNR, MSE and Similarity Ratio are also being used to check the quality of watermarked image which provides the satisfactory results. Keywords— Digital watermarking, Bacterial Foraging Optimization, BFO, PSNR ,Mean Square Error(MSE).
منابع مشابه
Sub-transmission sub-station expansion planning based on bacterial foraging optimization algorithm
In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders to meet the future load demand. The large number of design variables and combination of discr...
متن کاملControl of nonlinear systems using a hybrid APSO-BFO algorithm: An optimum design of PID controller
This paper proposes a novel hybrid algorithm namely APSO-BFO which combines merits of Bacterial Foraging Optimization (BFO) algorithm and Adaptive Particle Swarm Optimization (APSO) algorithm to determine the optimal PID parameters for control of nonlinear systems. To balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...
متن کاملControl of nonlinear systems using a hybrid APSO-BFO algorithm: An optimum design of PID controller
This paper proposes a novel hybrid algorithm namely APSO-BFO which combines merits of Bacterial Foraging Optimization (BFO) algorithm and Adaptive Particle Swarm Optimization (APSO) algorithm to determine the optimal PID parameters for control of nonlinear systems. To balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...
متن کاملOptimized Watermarking Using Swarm-Based Bacterial Foraging
Digital watermarking has been a popular topic in both scientific research and applications in the last decade. Based on previous experiences for the development of watermarking algorithm in literature, there are lots of requirements that need to be considered based on the purpose for applications. Therefore, how to assess the effectiveness of the algorithm should be based on the preset requirem...
متن کاملCombined Economic and Emission Dispatch Solution Using Exchange Market Algorithm
This paper proposes the exchange market algorithm (EMA) to solve the combined economic and emission dispatch (CEED) problems in thermal power plants. The EMA is a new, robust and efficient algorithm to exploit the global optimum point in optimization problems. Existence of two seeking operators in EMA provides a high ability in exploiting global optimum point. In order to show the capabilities ...
متن کامل