We present a steganalysis scheme for LSB matching steganography based on feature vectors extracted from integer wavelet transform (IWT). In integer wavelet decomposition of an image, the coefficients will be integer, so we can calculate co-occurrence matrix of them without rounding the coefficients. Before calculation of co-occurrence matrices, we clip some of the most significant bitplanes of ...

A novel version of Ant Colony Optimization (ACO) algorithms for solving continuous space problems is presented in this paper. The basic structure and concepts of the originally reported ACO are preserved and adaptation of the algorithm to the case of continuous space is implemented within the general framework. The stigmergic communication is simulated through considering certain direction vect...

A maximum a posteriori algorithm for reduction of metal streak artifacts in x-ray computed tomography is presented. The algorithm uses a Markov random field smoothness prior and applies increased sampling in the reconstructed image. Good results are obtained for simulations and phantom measurements: streak artifacts are reduced while small, line-shaped details are preserved.

We present an algorithm that covers any given rational ruled surface with two rational parametrizations. In addition, we present an algorithm that transforms any rational surface parametrization into a new rational surface parametrization without affine base points and such that the degree of the corresponding maps is preserved.

A quick gradient training algorithm for a specific neural network structure called an extra reduced size lattice-ladder multilayer perceptron is introduced. Presented derivation of the algorithm utilizes recently found by author simplest way of exact computation of gradients for rotation parameters of lattice-ladder filter. Developed neural network training algorithm is optimal in terms of mini...

We propose a privacy preserved location monitoring system using wireless sensor network. Here we are using two localized algorithms such as Resource aware algorithm and Quality aware algorithm. Our aim is to provide high quality privacy preserved Location Based Services for the user. If user is giving query , person will receive only aggregate location information based on K-anonymity value whi...

This paper proposes a noise smoothing algorithm for dense range image using adaptive regularization, which preserves discontinuities and removes noise, simultaneously. In order to obtain the discontinuity-preserved range data, both high frequency components across the edge orientation and smoothness along the edge orientation are considered in this algorithm. As a result, the proposed algorithm...

A quick gradient training algorithm for a specific neural network structure called an extra reduced size lattice–ladder multilayer perceptron is introduced. Presented derivation of the algorithm utilizes recently found by author simplest way of exact computation of gradients for rotation parameters of lattice–ladder filter. Developed neural network training algorithm is optimal in terms of mini...