Image processing

Although it's true that image compression research is a mature field, continued improvements in computing power and image representation tools keep the field spry.

Land management issues, such as mapping tree species, recognizing invasive plants, and identifying key geologic features, require an understanding of complex technical issues before the best decisions can be made.

Color Image Processing: Methods and Applications embraces two decades of extraordinary growth in the technologies and applications for color image processing.

Image Processing with MATLAB: Applications in Medicine and Biology explains complex, theory-laden topics in image processing through examples and MATLAB algorithms.

In two editions spanning more than a decade, The Electrical Engineering Handbook stands as the definitive reference to the multidisciplinary field of electrical engineering.

Image processing comprises a broad variety of methods that operate on images to produce another image.

Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications.

An Advanced Research Workshop (ARW) "e;Data Fusion Technologies for Harbour Protection"e; was held in Tallinn, Estonia 27 June-1 July, 2005.

Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence.

Computational methodologies of signal processing and imaging analysis, namely considering 2D and 3D images, are commonly used in different applications of the human society.

Geomatics is a neologism, the use of which is becoming increasingly widespread, even if it is not still universally accepted.

Palmprint Authentication is the first book to provide a comprehensive introduction to palmprint technologies.

3D Face Processing: Modeling, Analysis and Synthesis introduces the frontiers of 3D face processing techniques.

Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system.

The past decades have seen significant improvements in 3D imaging where the related techniques and technologies have advanced to a mature state.

Edward Muybridge (1830-1904) is known as the pioneer in motion capt- ing with his famous experiments in 1887 called "e;Animal Locomotion"e;.

The conference proceedings of:International Conference on Industrial Electronics, Technology & Automation (IETA 05)International Conference on Telecommunications and Networking (TeNe 05)International Conference on Engineering Education, Instructional Technology, Assessment, and E-learning (EIAE 05)include a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of: Industrial Electronics, Technology and Automation, Telecommunications, Networking, Engineering Education, Instructional Technology and e-Learning.

The chapters in this volume were presented at the July-August 2006 NATO Advanced Study Institute on Imaging for Detection and Identi?

Computer vision and image analysis require interdisciplinary collaboration between mathematics and engineering.

As the speed, capabilities, and economic advantages of modern digital devices c- tinue to grow, the need for ef?

This book is a comprehensive and cutting-edge exploration of the complexities surrounding the protection and resilience of cyber-physical systems.

According to Putnam to talk of "e;facts"e; without specifying the language to be used is to talk of nothing; "e;object"e; itself has many uses and as we creatively invent new uses of words "e;we find that we can speak of 'objects'that were not 'values of any variable'in 1 any language we previously spoke"e; .

Remotely sensed data, in the form of digital images captured from spaceborne and airborne platforms, provide a rich analytical and observational source of information about the current status, as well as changes occurring in, on, and around the Earth's surface.

Remotely sensed data, in the form of digital images captured from spaceborne and airborne platforms, provide a rich analytical and observational source of information about the current status, as well as changes occurring in, on, and around the Earth's surface.

Digital technology now enables unparalleled functionality and flexibility in the capture, processing, exchange, and output of color images.

Illustrating essential aspects of adaptive image processing from a computational intelligence viewpoint, the second edition of Adaptive Image Processing: A Computational Intelligence Perspective provides an authoritative and detailed account of computational intelligence (CI) methods and algorithms for adaptive image processing in regularization, edge detection, and early vision.

In the development of digital multimedia, the importance and impact of image processing and mathematical morphology are well documented in areas ranging from automated vision detection and inspection to object recognition, image analysis and pattern recognition.

In contrast to classical image analysis methods that employ "e;crisp"e; mathematics, fuzzy set techniques provide an elegant foundation and a set of rich methodologies for diverse image-processing tasks.

With the exponential increase in computing power and broad proliferation of digital cameras, super-resolution imaging is poised to become the next "e;killer app.

This edition presents the most prominent topics and applications of digital image processing, analysis, and computer graphics in the field of cultural heritage preservation.

As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade.

With rapid progress in Internet and digital imaging technology, there are more and more ways to easily create, publish, and distribute images.

Image processing comprises a broad variety of methods that operate on images to produce another image.

Blind image deconvolution is constantly receiving increasing attention from the academic as well the industrial world due to both its theoretical and practical implications.

Computational photography refers broadly to imaging techniques that enhance or extend the capabilities of digital photography.

Color Image Processing: Methods and Applications embraces two decades of extraordinary growth in the technologies and applications for color image processing.

Shrinking pixel sizes along with improvements in image sensors, optics, and electronics have elevated DSCs to levels of performance that match, and have the potential to surpass, that of silver-halide film cameras.

Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses.

The late 1980s, revolutionary advances in digital halftoning enabled inkjet printers to achieve much higher image fidelity.

Every day millions of people capture, store, transmit, and manipulate digital data.

There are many books on neural networks, some of which cover computational intelligence, but none that incorporate both feature extraction and computational intelligence, as Supervised and Unsupervised Pattern Recognition does.

In two editions spanning more than a decade, The Electrical Engineering Handbook stands as the definitive reference to the multidisciplinary field of electrical engineering.

Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications.

"e;John Russ is the master of explaining how image processing gets applied to real-world situations.

Visual perception is a complex process requiring interaction between the receptors in the eye that sense the stimulus and the neural system and the brain that are responsible for communicating and interpreting the sensed visual information.

Image Restoration: Fundamentals and Advances responds to the need to update most existing references on the subject, many of which were published decades ago.

Going beyond standard introductory texts, Mathematical Optics: Classical, Quantum, and Computational Methods brings together many new mathematical techniques from optical science and engineering research.

Focusing on mathematical methods in computer tomography, Image Processing: Tensor Transform and Discrete Tomography with MATLAB(R) introduces novel approaches to help in solving the problem of image reconstruction on the Cartesian lattice.