The main theory behind nonlinear diffusion models is to use nonlinear PDEs to create a scale space representation that consists of gradually simplified images where some image features such as edges are maintained or even enhanced. The earliest nonlinear diffusion model proposed in image processing is the so-called anisotropic diffusion1 by Perona and Malik [4]. In their formulation, they repla...

Diffusion layers are crucial components of symmetric ciphers. These components, along with suitable Sboxes, can make symmetric ciphers resistant against statistical attacks like linear and differential cryptanalysis. Conventional MDS diffusion layers, which are defined as matrices over finite fields, have been used in symmetric ciphers such as AES, Twofish and SNOW. In this paper, we study line...

in this paper we investigate the effects of broadband infrastructure providing high speed internet, on economic growth in developing countries. we have used two different broadband measures to classify developing countries into two groups for the period 1999-2008. by using logistic diffusion model and iv approach, a nonlinear diffusion model is specified. differences in ceiling of diffusion cur...

Fingerprint enhancement is a critical step in a fingerprint identification system. Recently, some anisotropic nonlinear diffusion filter is applied to the fingerprint preprocessed. Impressive results are main reason for using nonlinear diffusion filtering in image processing. Poor efficiency, especially the computational load, is the main reason for not using nonlinear diffusion filtering. In o...