Digital holography is well adapted to measure any modifications related to any objects.The method refers to digital holographic interferometry where the phase change between two states of the object is of interest.However, the phase images are corrupted by the speckle decorrelation noise.In this paper, we address the question of de-noising in holog
Seam-Carving forgery detection based on expanded Markov features
To deal with the digital image forgery using Seam-Carving, a detection algorithm based on expanded Markov features was cent dyyni proposed.The algorithm takes full acount of the image frequency domain change caused by Seam-Carving operation, merges the features based on traditional and expands Markov transfer-probability matrix.Trained by SVM, the
About the approximation of a field of an extended source by a sphere wave in the far illumination region
On the base of a coherent emitting straight segment, the problem of approximate description of the field of an extended source in the far illumination region is considered.It is shown that in regions close to click here the directions of intensity maximums the source field can be approximated by mean of sphere waves.The sphericity condition in corr
Locally Embedding Autoencoders: A Semi-Supervised Manifold Learning Approach of Document Representation.
Topic models and neural networks can discover meaningful low-dimensional latent representations of text corpora; as such, they have become a key technology of document representation.However, such models presume all documents are non-discriminatory, resulting in latent representation dependent upon all other documents and an inability to provide di