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A Multiscale Spline Derivative-based Transform for Image Fusion and Enhancement

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A Multiscale Spline Derivative-based Transform for Image Fusion and Enhancement

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Spline and Spline Wavelet Methods with Applications to Signal and Image Processing: Volume II

books provide a universal toolbox accompanied by MATLAB software for manipulating polynomial and discrete splines, spline-based wavelets;

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Spline and Spline Wavelet Methods with Applications to Signal and Image Processi

This book provides a practical guide, complete with accompanying Matlab software, to many different types of polynomial and discrete;

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Image Fusion Techniques for Remote Sensed Data

of sensors. In order to improve the dependability for extracting information, and enhance the efficiency of the data. The image fusion results in a;

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Computational Methods and Clinical Applications for Spine Imaging

, multimodal image registration and fusion for spine imaging, novel visualization techniques, segmentation techniques for spine imaging, statistical;

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Medical Image Fusion

Image fusion has become a common term used within medical diagnostics and treatment. The term is used when multiple patient images are;

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Image Fusion

and Applications provides a representative collection of the recent advances in research and development in the field of image fusion;

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Remote Sensing of Natural Resources

processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy;

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Remote Sensing of Natural Resources

processing, enhancement, feature extraction, data fusion, image classification, image-based modeling, image-based sampling design, map accuracy;

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Image Retrieval Based on Content Using Color Feature

performance evaluation. Ranklet Transform is used to make the image invariant to rotation and any image enhancement operations. For the resulting;

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Image Processing

This graduate textbook explains image geometry, and elaborates on image enhancement in spatial and frequency domain, unconstrained and;

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Patch-Based Techniques in Medical Imaging

structures or lesions; image enhancement; computer-aided prognostic and diagnostic; multi-modality fusion; mono and multi modal image synthesis;

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Signal Processing and Image Processing for Acoustical Imaging

- the 2D transform, fast Fourier transform (FFT) and applications, and deconvolution - before introducing readers to higher-order statistics;

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Fuzzy Transforms for Image Processing and Data Analysis

of use, and low computational complexity of fuzzy transforms make them a powerful fuzzy approximation tool suitable for many computer science;

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Fuzzy Transforms for Image Processing and Data Analysis

of use, and low computational complexity of fuzzy transforms make them a powerful fuzzy approximation tool suitable for many computer science;

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Proceedings of 2nd International Conference on Computer Vision Image Processin

storage, retrieval and authentication; image/video quality; transform-based and multi-resolution image/video analysis; biological and perceptual;

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Multi-Sensor Image Fusion and Its Applications

of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its;

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Biomedical Image Understanding

: * Addresses motion tracking and knowledge-based systems, two areas which are not covered extensively elsewhere in a biomedical context * Describes;

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Multi-Sensor Data Fusion With MATLAB

of a dynamic system by processing sensor data. The book then employs principal component analysis, spatial frequency, and wavelet-based image;

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Image Fusion in Remote Sensing

captured by different sensors on satellites. This book addresses image fusion approaches for remote sensing applications. Both conventional and;

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Remote Sensing Image Fusion

and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a;

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Introduction To Sparse Stochastic Processes

stochastic differential equations, and that admit a parsimonious representation in a matched wavelet-like basis. Two key themes are the statistical;

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Image Understanding

, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich;

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Image Fusion

The purpose of this book is to provide a practical introduction to the th- ries, techniques and applications of image fusion. The present;

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Image Fusion

of parameters for a given fusion algorithm. This book discusses principles, different technologies and applications of image fusion.;

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Computational Methods for Quantitative Finance: Finite Element Methods for Derivative Pricing

volume offers an introduction to deterministic algorithms for the fast and accurate pricing of derivative contracts in modern finance. This;

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