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Image Super-Resolution and Applications

block in the super-resolution reconstruction process. Instead of approaching image interpolation as either a polynomial-based problem or an;

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Image Super-Resolution and Applications

block in the super-resolution reconstruction process. Instead of approaching image interpolation as either a polynomial-based problem or an;

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Iterative-Interpolation Super-Resolution Image Reconstruction

. Factors such as optical or atmospheric blur and sensor noise can also contribute further to the d- radation of image quality. Super-Resolution;

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Super-resolution Reconstruction Of Cardiac MR Images

long-axis (LA) volumes are combined, an increase in resolution can be obtained. In this book we employ a super-resolution reconstruction (SRR;

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Example-Based Super Resolution

Example-Based Super Resolution provides a thorough introduction and overview of example-based super resolution, covering the most;

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New Approaches for Multidimensional Signal Processing

-dimensional multicomponent image processing, multidimensional image representation and super-resolution, 3D image processing and reconstruction, MD;

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Image Reconstruction

This book introduces the classical and modern image reconstruction technologies. It covers topics in two-dimensional (2D) parallel-beam and;

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Digital Image Warping

This best-selling, original text focuses on image reconstruction, real-time texture mapping, separable algorithms, two-pass transforms;

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Hyperspectral Image Processing

/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge;

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Digital Image Interpolation in Matlab

This book provides a comprehensive study in digital image interpolation with theoretical, analytical and Matlab (R) implementation. It;

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Iterative Hillclimbing Optimization Techniques

This book is a reproduction of my thesis work. An iterative hillclimbing optimization technique was ;...

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Image Mosaicing and Super-resolution

. Two forms of frame fusion are then considered: image mosaic ing and super-resolution. Image mosaicing is the alignment of multiple images;

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Simulation and Synthesis in Medical Imaging

synthesis and simulation in medical imaging such as image interpolation and segmentation, image reconstruction, cell imaging, and blood flow.;

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Super-Resolution Imaging in Biomedicine

This book encompasses the full breadth of the super-resolution imaging field, representing modern techniques that exceed the traditional;

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Super-Resolution Imaging in Biomedicine

This book encompasses the full breadth of the super-resolution imaging field, representing modern techniques that exceed the traditional;

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Improved Signal and Image Interpolation in Biomedical Applications

Advances have been made in improved signal and image interpolation that derive a unified framework, thus achieving improvement of the;

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Recent Advances in Super-Resolution Microscopy Imaging

development of optical microscopy that has achieved spatial resolution beyond the diffraction limit. Super-resolution imaging techniques outperforming;

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Super Resolution of Images And Video

This book focuses on the super resolution of images and video. The authors' use of the term super resolution (SR) is used to describe the;

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Inverse Problems in Vision and 3D Tomography

of a 3D landscape based on several satellite photos; super-resolution; motion estimation in a sequence of images; separation of several images;

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Proceedings of 2nd International Conference on Computer Vision Image Processin

formation and display; image/video filtering, restoration, enhancement and super-resolution; image/video coding and transmission; image/video;

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Super-Resolution Imaging

With the exponential increase in computing power and broad proliferation of digital cameras, super-resolution imaging is poised to become;

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Image Processing

) introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods;

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Image Processing

) introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice. Specifically, it discusses methods;

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Diffuse Optical Tomography

properties or molecular contrast agents through model-based reconstruction algorithms using NIR measurements along or near the boundary of tissue;

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Diffuse Optical Tomography

properties or molecular contrast agents through model-based reconstruction algorithms using NIR measurements along or near the boundary of tissue;

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Compressive Sensing of Earth Observations

includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data.;

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Multi-resolution Image Fusion in Remote Sensing

remotely sensed multi-spectral images. It covers important multi-resolution fusion concepts along with the state-of-the-art methods including super;

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