In the paper is presented one new approach for efficient decorrelation of multispectral images, based on hierarchical adaptive Principal Component Analysis. The research is aimed at the efficient compression of multispectral images (MS), whose resolution and band number in some application areas are extremely high. Together with this, also grows up the needed volume of the corresponding image d...

This article defines a new way to perform intuitive and geometrically faithful regressions on histogram-valued data. It leverages the theory of optimal transport, and in particular the definition of Wasserstein barycenters, to introduce for the first time the notion of barycentric coordinates for histograms. These coordinates take into account the underlying geometry of the ground space on whic...

In this paper, a reversible data hiding scheme based on two dimensional difference histogram modification is proposed. We adopted difference-pairmapping (DPM) strategy. A sequence of pairs of difference values is calculated by taking each pixel-pair and its surroundings. Then, a two-dimensional difference-histogram is produced by counting the frequency of the resulting difference pairs. Then, a...

In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile robot based on modification of vector field histogram (VFH) approach using neuro-fuzzy algorithm. A back propagation neural network has been used for detection of unknown obstacle to avoid collision. A neural network model is used to learn (off line) many critical status of obstacle topology. Fu...

Being reversible, the watermarking information embedded in audio signals can be extracted while the original audio data can achieve lossless recovery. Currently, the few reversible audio watermarking algorithms are confronted with following problems: relatively low SNR (signal-to-noise) of embedded audio; a large amount of auxiliary embedded location information; and the absence of accurate cap...

In this paper, we propose an improved adaptive histogram modification based reversible data hiding technique for color images. Reversible or Lossless data embedding is a technique that embeds data into an image in a reversible manner. In the conventional reversible technique, the visual quality is not taken into account which resulted in a poor quality of the embedded images. The histogram modi...

Frequency histograms are ubiquitous, being practically used in any field of science. In this paper, we present a partial order for frequency and, to our knowledge, no kind has been yet defined. This is based on the stochastic discrete probability distributions and it invariance properties that make unique. First, model histogram as sequence bins associated with (or relative frequency) distribut...

Reversible data hiding (RDH) is a special class of steganography, in which the cover image can be perfectly recovered upon extraction secret data. However, most image-based RDH schemes focus on improving capacity–distortion performance. In this paper, we propose novel scheme not only effectively conceals traces left by HS but also improves First, high-precision edge predictor LS-ET (Least Squar...