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"A wide-ranging theoretical and aesthetic exploration of hybrid moving images based on the intersection of film, video, and digital technology."--

Motion pictures --- Digital media --- Image processing --- Digital image processing --- Digital electronics --- Electronic media --- New media (Digital media) --- Mass media --- Digital communications --- Online journalism --- Philosophy. --- Digital techniques.

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Obtain techniques for adding color to black and white or monochrome photographic images using GIMP. In this book you'll also learn to create a hand-tinted effect to add an element of antiquity. Pro Photo Colorizing with GIMP also teaches techniques that enable you to selectively colorize images, mixing black and white with color. There are also tips to go the opposite way: converting color images into black and white (there's more to it than just removing color). Written with both beginning and experienced GIMP users in mind, Pro Photo Colorizing with GIMP shows you how to colorize black and white images to achieve a high degree of realism. What You'll Learn Gain a basic overview of the GIMP workspace, tools, color palettes, layers, and layer masks Learn how to make the proper tonal adjustments to black and white images before starting the colorizing process Complete simple colorizing exercises for beginners and progress to more advanced colorizing techniques Colorize skin, teeth, hair, and eyes Create a nostalgic hand-tinted look and selectively colorize (mixing color with black and white) to create interesting images Use textures and patterns to create artistic colorized images Properly convert color images into black and white Colorize black and white portraits, and re-colorize old faded color portraits Who This Book Is For GIMP users (but users of other photo editing software packages can benefit as well). It is especially useful for those who edit photographs, restore old photographs, or those who want to apply colorizing techniques for artistic effect.

Computer science. --- Photography. --- Computer graphics. --- Computer Science. --- Computer Graphics. --- Image processing --- Photographs --- Digital techniques. --- Coloring. --- GIMP (Computer file) --- Coloring of photographs --- Digital image processing --- GNU image manipulation program --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Informatics --- Science --- Digital techniques --- Digital electronics

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The book covers the most crucial parts of real-time hyperspectral image processing: causality and real-time capability. Recently, two new concepts of real time hyperspectral image processing, Progressive Hyperspectral Imaging (PHSI) and Recursive Hyperspectral Imaging (RHSI). Both of these can be used to design algorithms and also form an integral part of real time hyperpsectral image processing. This book focuses on progressive nature in algorithms on their real-time and causal processing implementation in two major applications, endmember finding and anomaly detection, both of which are fundamental tasks in hyperspectral imaging but generally not encountered in multispectral imaging. This book is written to particularly address PHSI in real time processing, while a book, Recursive Hyperspectral Sample and Band Processing: Algorithm Architecture and Implementation (Springer 2016) can be considered as its companion book. Includes preliminary background which is essential to those who work in hyperspectral imaging area Develops sequential and progressive algorithms for finding endmembers as they relate to real time hyperspectral image processing Designs algorithms for anomaly detection from causality and real time perspectives and investigates the effects of causality and real-time processing in anomaly detection.

Telecommunications --- Applied Physics --- Electrical Engineering --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Image processing --- Pattern perception. --- Digital techniques. --- Design perception --- Pattern recognition --- Digital image processing --- Form perception --- Perception --- Figure-ground perception --- Digital electronics --- Computer vision. --- Optical pattern recognition. --- Biometrics. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Signal processing. --- Image processing. --- Speech processing systems. --- Optical data processing. --- Pattern recognition. --- Biometrics (Biology). --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics --- Statistics --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Statistical methods --- Optical equipment

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In his master thesis, Sven Painer develops, implements, and evaluates a method to reconstruct the liver surface from monocular mini-laparoscopic sequences. The principal focus of his research is to create a basis for helping clinicians to write reports with quantitative descriptions of the liver surface. A Structure from Motion approach is performed to do a sparse reconstruction of the liver surface and subsequently this information is used in a variation based dense 3D reconstruction. The algorithms are formulated in a causal way, enabling the implementation to be run in real-time on an adequate hardware platform. The results show a significant performance increase and pave the way to give clinicians a feedback during video capturing to improve the quality of the reconstruction in the near future. Contents Photometric Invariants Legendre-Fenchel Transformation Structure from Motion# Variational Approach Target Groups Lecturers and Students of Computer Sciences, especially interested in 3D Reconstruction Clinicians The Author Sven Painer is working as a PhD student at the Vision Systems Institute at Hamburg University of Technology. He continues the work on 3D reconstruction that he started during his master thesis.

Electrical Engineering --- Applied Physics --- Technology - General --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Three-dimensional imaging in medicine. --- Imaging systems in medicine. --- Diagnostic imaging. --- Three-dimensional medical imaging --- Clinical imaging --- Imaging, Diagnostic --- Medical diagnostic imaging --- Medical imaging --- Noninvasive medical imaging --- Medical imaging systems --- Diagnosis, Noninvasive --- Imaging systems in medicine --- Medical instruments and apparatus --- Computer vision. --- Engineering mathematics. --- Software engineering. --- Computer Imaging, Vision, Pattern Recognition and Graphics. --- Mathematical and Computational Engineering. --- Software Engineering/Programming and Operating Systems. --- Computer software engineering --- Engineering --- Engineering analysis --- Mathematical analysis --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Mathematics --- Optical data processing. --- Applied mathematics. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Optical equipment --- Mathematical and Computational Engineering Applications. --- Software Engineering. --- Digital techniques. --- Data processing. --- Digital image processing --- Digital electronics

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Based on the authors’ research, this book introduces the main processing techniques in hyperspectral imaging. In this context, SVM-based classification, distance comparison-based endmember extraction, SVM-based spectral unmixing, spatial attraction model-based sub-pixel mapping, and MAP/POCS-based super-resolution reconstruction are discussed in depth. Readers will gain a comprehensive understanding of these cutting-edge hyperspectral imaging techniques. Researchers and graduate students in fields such as remote sensing, surveying and mapping, geosciences and information systems will benefit from this valuable resource.

Image processing -- Digital techniques. --- Multispectral imaging. --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Telecommunications --- Applied Physics --- Electrical Engineering --- Hyperspectral imaging. --- Image processing --- Digital techniques. --- Digital image processing --- Imaging, Multispectral --- MSI (Multispectral imaging) --- Multiband photography --- Multispectral photography --- Multispectral scanning --- Scanning, Multispectral --- Digital electronics --- Spectral imaging --- Computer vision. --- Signal, Image and Speech Processing. --- Image Processing and Computer Vision. --- Remote Sensing/Photogrammetry. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Signal processing. --- Image processing. --- Speech processing systems. --- Optical data processing. --- Remote sensing. --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Optical equipment