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Computational fluid dynamics provides the framework for explaining fluid motion. The methodology proposed in this paper applies partial differential equations such as Navier-Stokes for modelling the optical flow in image sequences displaying complex motion. The proposed robust stable fluid solver has the following components: robust diffusion, advection and mass conservation. We employ a robust diffusion...
In this study we propose a new approach for selective encryption in the Huffman coding of the discrete cosine transform (DCT) coefficients using the advanced encryption standard (AES). The objective is to partially encrypt the human face in an image or video sequence. This approach is based on the AES stream ciphering using variable length coding (VLC) of the Huffman's vector. The proposed scheme...
This paper provides a comparison study among a set of novel algorithms that implement robust diffusion on optical flows. The proposed algorithms combine the anisotropic smoothing ability of the heat kernel and the outlier rejection mechanism of robust statistics algorithms. The diffusion kernel is considered Gaussian, where the covariance matrix is the local Hessian. This enables the kernel to detect...
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