We propose a data hiding method in color image with its image palette. Many authors usually embed data into the palette or into the index table of the palette directly. Those data hiding methods embedded the secret data into palette itself, the palette will be changed to a different one. It becomes more difficultly to reveal the embedded information. We apply the particle swarm optimization met...

This paper presents an algorithm allowing to perform photometric stereo with high accuracy results in the presence of shadows. First, we choose a combination of three images suited to reveal the presence of shadow and use it to calculate the normal vector on each pixel. This normal vector is then used to recalculate the intensity in order to evaluate the distance with the real intensities and d...

A number of algorithms have been developed for three-dimensional (3D) deconvolution of fluorescence microscopical images. These algorithms use a mathematical-physics model for the process of image formation and try estimate the specimen function, i.e. the distribution of fluorescent dye in the specimen. To keep the algorithms tractable and computational load practical, the algorithms rely on si...

acquiring up-to-date information about stands is necessary for scientific management and planning of forest. remote sensing by its great capabilities in this way can be very useful. this study was done to investigate the capability of satellite data for gathering information about beech diameter specification. 21 plots of one hectare dimension were selected at experimental forest of kheyroud in...

In designing page segmentation systems for documents with complex background and poor illumination, separating the background from the objects (text and images) is very crucial for the success of such system. The new local based neural binarization technique developed by the authors will be used to extract the objects from document images with complex backgrounds. This algorithm uses statistica...

hyperspectral sensors provide a large number of spectral bands. this massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. therefore, reducing the dimensionality of hyperspectral images without losing important information is a very important issue for the remote sensing community. we propose to use overlap-based feature weigh...

This paper presents a probabilistic model for use in lossless image compres-sors. For each pixel the model provides a conditional distribution, which in the most simple case is a discretized gaussian. The mean and variance of this gaus-sian are determined by using that pixel's neighbors to search a tree to nd an autoregressive model, which is then applied to those same neighbors. Finally, an ar...

In this research paper, consists of compressing the images within each pixel before the storage processes, hence the size of the memory gets reduced. This can be done by the proposed method namely block based compression algorithm which uses the differential coding scheme. Here, differential values are captured and then quantized. The differential coding scheme uses the concept of selecting the...