Source camera identification is an important branch of image forensics. This paper describes a novel method for determining image origin based on color filter array (CFA) interpolation coefficient estimation. To reduce the perturbations introduced by a double JPEG compression, a covariance matrix is used to estimate the CFA interpolation coefficients. The classifier incorporates a combination o...

For the purpose of better application, the nonlinear correction of the transducer is very important. The soft computing methods which include the neural network linearization correction method and linear interpolation method are put forward to realize the nonlinear correction for the transducer. The principles, algorithms and realization of these methods are discussed, and nonlinear correction ...

We consider spatio-temporal interpolation of geographic data using both the reduction method, which treats time as an independent dimension, and the extension method, which treats time as equivalent to a spatial dimension. We adopt both 2-D and 3-D shape functions from finite element methods for the spatio-temporal interpolation of 2-D spatial and 1-D temporal data sets. We also develop new 4-D...

1 Corresponding author. Email: [email protected]. This research is supported by the Hong Kong General Research Fund (PolyU 5330/07E) and the National Science Foundation Council of China under Grant no. 60634030. Abstract – Most of the existing image interpolation schemes assume that the image to be interpolated is noise free. This assumption is invalid in practice because noise will be...

As a continuation of the e cient and accurate polynomial interpolation time-marching technique in one-dimensional and two-dimensional cases, this paper proposes a method to extend it to threedimensional problems. By stacking all two-dimensional (x, y) slice matrices along Z direction, threedimensional derivative matrices are constructed so that the polynomial interpolation time-marching can be ...

| Our goal in this paper is to set a theoretical basis for the comparison of re-sampling and interpolation methods. We consider the general problem of the approximation of an arbitrary continuously-deened function f(x) |not necessarily bandlimited| when we vary the sampling step T. We present an accurate L 2 computation of the induced approximation error as a function of T for a general class o...

Queuing network models of modern computing systems must consider a large number of components (e.g., Web servers, DB servers, application servers, firewall, routers, networks) and hundreds of customers with very different resource requirements. The complexity of such models makes the application of exact solution techniques prohibitively expensive, motivating research on approximate methods. Th...

The study objective is to extract HydroGeoMorphic Units in wetlands from LiDAR data estimating the required accuracy for assessing their functions in various hydrological and vegetation environments. Several Digital Terrain Models (DTMs) have been derived from LiDAR data with different point densities, ranging from 4 to 1 point/m2 with four interpolation methods. Then, the HGMU have been extrac...

In this paper, we apply the meshfree radial basis function (RBF) interpolation to numerically approximate zero-coupon bond prices and survival probabilities in order to price credit default swap (CDS) contracts. We assume that the interest rate follows a Cox-Ingersoll-Ross process while the default intensity is described by the Exponential-Vasicek model. Several numerical experiments are conduc...

In this paper, we present a method for the plausible interpolation of images. This method has several applications, such as for smooth view interpolation, low frame-rate video upsampling, and animation. The central idea is to quickly form dense correspondences using a patch-based nearest-neighbor search method called PatchMatch. However, the conventional PatchMatch method does not always find a...