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Medical Image Compression Using Compressive Sensing

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Hybrid and Advanced Compression Techniques for Medical Images

compression and compressive sensing (CS) theory based approaches that are designed and implemented using various image transforms, such as: Discrete;

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Compressive Sensing For Wireless Networks

Compressive sensing is a new signal processing paradigm that aims to encode sparse signals by using far lower sampling rates than those;

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Still Image Compression Using Discreet Wavelet Transform

of applications, e.g. Internet, colorfacsimile, printing, scanning, digital photography, remote sensing, mobile applications, medical imagery, digital;

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Signal and Image Multiresolution Analysis

Multiresolution analysis using the wavelet transform has received considerable attention in recent years by researchers in various fields;

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Optical Compressive Imaging

This dedicated overview of optical compressive imaging addresses implementation aspects of the revolutionary theory of compressive sensing;

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Optical Compressive Imaging

This dedicated overview of optical compressive imaging addresses implementation aspects of the revolutionary theory of compressive sensing;

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Compressive Sensing of Earth Observations

Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with;

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A Wavelet Tour of Signal Processing

in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering;

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Image and Video Compression

compression and demonstrates their practical implementation using MATLAB (R) programs. Designed for students, researchers, and practicing engineers;

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Image and Video Compression

compression and demonstrates their practical implementation using MATLAB (R) programs. Designed for students, researchers, and practicing engineers;

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Contextual Compression of Ultrasound Medical Images

Medical image compression addresses the issues of larger storage and faster transmission requirements. Contextual compression of Ultrasound;

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Communication, Signal Processing & Information Technology

Signal Processing, Speech, Image, Video Signal Processing, Person Authentication, Biometry, Medical Imaging, Remote Sensing Analysis, Image;

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Compressive Sensing in Healthcare

Compressive Sensing in Healthcare, part of the Advances in Ubiquitous Sensing Applications for Healthcare series gives a review on;

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Compressive Sensing for Urban Radar

With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed;

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Compressive Sensing for Urban Radar

With the emergence of compressive sensing and sparse signal reconstruction, approaches to urban radar have shifted toward relaxed;

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Advances in Visual Data Compression and Communication

correlated images as a pseudo sequence. It explains how to apply compressive sensing to solve the data compression problem during transmission and;

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The JPEG 2000 Suite

2000 in application domains such as video surveillance, digital cinema, digital television, medical imaging, defence imaging, security;

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Compressive Sensing for Wireless Communication

Compressed Sensing (CS) is a promising method that recovers the sparse and compressible signals from severely under-sampled measurements;

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Compressive Sensing Based Algorithms for Electronic Defence

This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense;

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Compression of Biomedical Images and Signals

medical data compression? Should a medical image or a physiological signal be processed and compressed like any other data? The progress made;

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Lossy Image Compression

decomposition based algorithms using image quality measures and study of various quality measures for gray scale image compression; compression;

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Signal and Image Processing for Remote Sensing

Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the;

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Advanced Digital Image Processing and Its Applications in Big Data

other imaging devices * Image compression standards that are needed to serve diverse applications * Applications of remote sensing, medical;

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Advanced Digital Image Processing and Its Applications in Big Data

of remote sensing, medical science, traffic management, education, innovation, and analysis in agricultural design and image processing * Both;

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When Compressive Sensing Meets Mobile Crowdsensing

these problematic aspects, compressive sensing, which works by accurately recovering a sparse signal using very few samples, has proven to offer;

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When Compressive Sensing Meets Mobile Crowdsensing

these problematic aspects, compressive sensing, which works by accurately recovering a sparse signal using very few samples, has proven to offer;

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