An Image Steganography using Particle Swarm Optimization and Transform Domain
نویسندگان
چکیده
منابع مشابه
Highly Secured Image Steganography Using Particle Swarm Optimization
Steganography is the art and science of concealing secret information in plain sight without being noticed within an innocent media so as not to arouse an eavesdropper’s suspicion and also it can be securely transmitted through network. In this paper novel steganography method based on Particle Swam Optimization (PSO) algorithm is adopted for hiding secret information with good invisibility, hi...
متن کاملOptimizing Image Steganography using Particle Swarm Optimization Algorithm
Image Steganography is the computing field of hiding information from a source into a target image in a way that it becomes almost imperceptible from one’s eyes. Despite the high capacity of hiding information, the usual Least Significant Bit (LSB) techniques could be easily discovered. In order to hide information in more significant bits, the target image should be optimized. In this paper, i...
متن کاملAn approach to Improve Particle Swarm Optimization Algorithm Using CUDA
The time consumption in solving computationally heavy problems has always been a concern for computer programmers. Due to simplicity of its implementation, the PSO (Particle Swarm Optimization) is a suitable meta-heuristic algorithm for solving computationally heavy problems. However, despite the simplicity, the algorithm is inefficient for solving real computationally heavy problems but the pr...
متن کاملStationary Wavelet Transform Image Fusion and Optimization Using Particle Swarm Optimization
The complementary nature of imaging sensors of different modalities all brought a great need of image fusion to extract relevant information images. Image fusion using Stationary wavelet transform (SWT) and optimize parameter using particle swarm optimization (PSO) has been implemented and demonstrated in PC MATLAB. In this paper selected images are fused and results obtained are tabulated. The...
متن کاملImage Enhancement Using Particle Swarm Optimization
Applications of the Particle Swarm Optimization (PSO) to solve image processing problem with a reference to a new automatic enhancement technique based on real-coded particle swarms is proposed in this paper. The enhancement process is a non-linear optimization problem with several constraints. The objective of the proposed PSO is to maximize an objective fitness criterion in order to enhance t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Engineering & Technology
سال: 2018
ISSN: 2227-524X
DOI: 10.14419/ijet.v7i2.24.12139