# Pan around a large image

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The following matlab code and examples are about Vision Enhancement that is based on "Vision Enhancement in Homogeneous and Heterogeneous Fog", J.-P. Tarel, N. Hautière, L. Caraffa, A. Cord, H. Halmaoui and D. Gruyer.

The following package and source code is based on S. Meignen, T. Oberlin and S. McLaughlin,"A New algorithm for Multicomponent Signals Analysis based on SynchroSqueezing: With an Application to Signal Sampling and Denoising".

The following package and source code is about NonLinear Multiscale Representation that is based on B. Mateï, S. Meignen, "On NonLinear Multiscale Representation for Piecewise Polynomial Signals: Application to Compression and Denoising".

The following contains the description of the m-files available in the toolbox for Multivariate Multiscale Complexity Analysis

The Delay vector variance (DVV) method uses predictability of the signal in phase space to characterize the time series. The following Matlab code and examples are used for Delay vector variance.

The following Matlab code and examples are about endogenous model of ordering, that is based on Farrell, S., & Lewandowsky, S. (2002). An endogenous model of ordering in serial recall.

The following Matlab code and examples is about human recognition, that are based on Farrell, S., Wagenmakers, E.-J., & Ratcliff, R. (2006). 1/f noise in human cognition: Is it ubiquitous, and what does it mean?

The following Matlab code and examples are based on Farrell, S. (2012). Temporal clustering and sequencing in short-term memory and episodic memory.

The following package and source code is based on Posterior Simulation of Normalized Random Measure Mixtures.

The following package and source code is based on Time-Varying Sparsity in Dynamic Regression Models.

The following matlab code and examples is about MatLab code for the quadratic Koch curve.

The following matlab code and examples is about Adaptive Quadrature.

The following matlab code and examples is about Newton, Lagrange and Hermite Interpolation in matlab.

The following source code example and source code is based on Non-Parametric Bayesian dictionary learning for sparse image representations. Matlab code and Inference equations are provided.

The following source code is the MATLAB implementation of the Movement Feature Space, and shows how the level lines and the adaptative background reference are calculated.

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