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Advanced Image Processing Techniques and Applications

2017-02-10 Computers
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Release : 2017-02-10
Genre : Computers
Kind : eBook
Book Rating : 546/5 ( reviews)

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Book Synopsis Advanced Image Processing Techniques and Applications by : Kumar, N. Suresh

Download or read book Advanced Image Processing Techniques and Applications written by Kumar, N. Suresh. This book was released on 2017-02-10. Available in PDF, EPUB and Kindle. Book excerpt: Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.

Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data

2004-08-12 Computers
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Release : 2004-08-12
Genre : Computers
Kind : eBook
Book Rating : 681/5 ( reviews)

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Book Synopsis Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data by : Pramod K. Varshney

Download or read book Advanced Image Processing Techniques for Remotely Sensed Hyperspectral Data written by Pramod K. Varshney. This book was released on 2004-08-12. Available in PDF, EPUB and Kindle. Book excerpt: The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.

Digital Signal Processing Techniques and Applications in Radar Image Processing

2008-08-29 Technology & Engineering
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Release : 2008-08-29
Genre : Technology & Engineering
Kind : eBook
Book Rating : 828/5 ( reviews)

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Book Synopsis Digital Signal Processing Techniques and Applications in Radar Image Processing by : Bu-Chin Wang

Download or read book Digital Signal Processing Techniques and Applications in Radar Image Processing written by Bu-Chin Wang. This book was released on 2008-08-29. Available in PDF, EPUB and Kindle. Book excerpt: A self-contained approach to DSP techniques and applications in radar imaging The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images. This book brings together material from these different areas to allow readers to gain a thorough understanding of how radar images are processed. The book is divided into three main parts and covers: * DSP principles and signal characteristics in both analog and digital domains, advanced signal sampling, and interpolation techniques * Antenna theory (Maxwell equation, radiation field from dipole, and linear phased array), radar fundamentals, radar modulation, and target-detection techniques (continuous wave, pulsed Linear Frequency Modulation, and stepped Frequency Modulation) * Properties of radar images, algorithms used for radar image processing, simulation examples, and results of satellite image files processed by Range-Doppler and Stolt interpolation algorithms The book fully utilizes the computing and graphical capability of MATLAB? to display the signals at various processing stages in 3D and/or cross-sectional views. Additionally, the text is complemented with flowcharts and system block diagrams to aid in readers' comprehension. Digital Signal Processing Techniques and Applications in Radar Image Processing serves as an ideal textbook for graduate students and practicing engineers who wish to gain firsthand experience in applying DSP principles and technologies to radar imaging.

Advanced Image Processing Techniques and Applications

2017 Computers
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Release : 2017
Genre : Computers
Kind : eBook
Book Rating : 559/5 ( reviews)

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Book Synopsis Advanced Image Processing Techniques and Applications by : N. Suresh Kumar

Download or read book Advanced Image Processing Techniques and Applications written by N. Suresh Kumar. This book was released on 2017. Available in PDF, EPUB and Kindle. Book excerpt: Today, the scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Advanced Image Processing Techniques and Applications is an essential reference publication for the latest research on digital image processing advancements. Featuring expansive coverage on a broad range of topics and perspectives, such as image and video steganography, pattern recognition, and artificial vision, this publication is ideally designed for scientists, professionals, researchers, and academicians seeking current research on solutions for new challenges in image processing.

Advanced Image and Video Processing Using MATLAB

2018-08-21 Technology & Engineering
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Release : 2018-08-21
Genre : Technology & Engineering
Kind : eBook
Book Rating : 236/5 ( reviews)

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Book Synopsis Advanced Image and Video Processing Using MATLAB by : Shengrong Gong

Download or read book Advanced Image and Video Processing Using MATLAB written by Shengrong Gong. This book was released on 2018-08-21. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning,dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.

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