Conversion of Fisheye Image to Perspective Image Using Nonlinear Scaling Function

Optimized computational Afin image algorithm using combination of update coefficients and wavelet packet conversion

Updating Optimal Coefficients and Selected Observations Affine Projection is an effective way to reduce the computational and power consumption of this algorithm in the application of adaptive filters. On the other hand, the calculation of this algorithm can be reduced by using subbands and applying the concept of filtering the Set-Membership in each subband. Considering these concepts, the fir...

Improving Cross Ambiguity Function Using Image Processing Approach to Detect GPS Spoofing Attacks

The Global Positioning System (GPS) is vulnerable to various deliberate and unintentional interferences. Therefore, identifying and coping with various interferences in this system is essential. This paper analyzes a method of reducing the dimensions of Cross Ambiguity Function (CAF) images in improving the identification of spoofing interference at the GPS using Multi-Layer Perceptron Neural N...

Creating Image-Based VR Using a Self-Calibrating Fisheye Lens

Nonlinear Image Restoration Using a Radial Basis Function Network

We propose a nonlinear image restoration method that uses the generalized radial basis function network (GRBFN) and a regularization method. The GRBFN is used to estimate the nonlinear blurring function. The regularization method is used to recover the original image from the nonlinearly degraded image. We alternately use the two estimation methods to restore the original image from the degrade...

Learning Image to Symbol Conversion

Malini K. Bhandaru Bruce A. Draper Victor R. Lesser Dept of Computer Science Univ. of Mass at Amherst Amherst, MA 01003 Abstract A common paradigm in object recognition is to extract symbolic and/or numeric features from an image as a preprocessing step for classi cation. The machine learning and pattern recognition communities have produced many techniques for classifying instances given such ...