Xem 1-20 trên 30 kết quả Image reconstruction
  • CS 450: Image reconstruction includes about required knowledge; knowledge about the corruption process; sattistical reconstruction; bayestical recontrucstion; balancing the data and prior term; other recontrucstion methods.

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  • .Mathematical Methods in Image Reconstruction .S1AM Monographs on Mathematical Modeling and Computation About the Series In 1997, SIAM began a new series on mathematical modeling and computation.

    pdf229p famvandao 13-04-2012 94 34   Download

  • From the early 1970s to mid-1990s, positron emission tomography (PET) as a diagnostic imaging modality had been for the most part used in experimental research. Clinical PET started only a decade ago. 82Rb-RbCl and 18F-Fluorodeoxyglucose were approved by the U.S. Food and Drug administration in 1989 and 1994, respectively, for clinical PET imaging. Reimbursement by Medicare was approved in 1995 for 82Rb-PET myocardial perfusion imaging and for 18F-FDG PET for various oncologic indications in 1999. Currently several more PET procedures are covered for reimbursement....

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  • We live in a time when digital information plays a key role in various fields. Whether we look towards communications, industry, medicine, scientific research or entertainment, we find digital images to be heavily employed. The high volume of stored and transacted digital images, together with the increasing availability of advanced digital image acquisition and display techniques and devices, came with a growing need for novel, fast and intelligent algorithms for the digital manipulation of digital images....

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  • This book provides a review of image analysis techniques as they are applied in the field of diagnostic and therapeutic nuclear medicine. Driven in part by the remarkable sophistication of nuclear medicine instrumentation and increase in computing power and its ready and inexpensive availability, this is a relatively new yet rapidly expanding field. Likewise, although the use of nuclear imaging for diagnosis and therapy has origins dating back almost to the pioneering work of Dr G.

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  • We live in a time when digital information plays a key role in various fields. Whether we look towards communications, industry, medicine, scientific research or entertainment, we find digital images to be heavily employed. The high volume of stored and transacted digital images, together with the increasing availability of advanced digital image acquisition and display techniques and devices, came with a growing need for novel, fast and intelligent algorithms for the digital manipulation of digital images....

    pdf0p cucdai_1 14-10-2012 26 5   Download

  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Application of Super-resolution Image Reconstruction to Digital Holography

    pdf7p dauphong20 11-03-2012 27 3   Download

  • (BQ) Part 1 book "Cone beam computed tomography" presents the following contents: History of x-ray computed tomography, acquisition of projection images, reconstruction algorithms, image simulation, radiation dose, 3D image processing, analysis, and visualization

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  • Beginning with modest initial attempts in roughly the 1960s, digital image processing has become a recognized field of science, as well as a broadly accepted methodology, to solve practical problems in many different kinds of human activities. The applications encompass an enormous range, starting perhaps with astronomy, geology, and physics, via medical, biological, and ecological imaging and technological exploitation, up to the initially unexpected use in humane sciences, e.g., archaeology or art history.

    pdf725p echbuon 02-11-2012 41 16   Download

  • This book represents a sample of recent contributions of researchers all around the world in the field of image restoration. The book consists of 15 chapters organized in three main sections (Theory, Applications, Interdisciplinarity). Topics cover some different aspects of the theory of image restoration. But this book is also an occasion to highlight some new topics of research related to the emergence of some original imaging devices (see “Applications” Section).

    pdf382p bi_bi1 08-07-2012 29 7   Download

  • Image recovery constitutes a significant portion of the inverse problems in image processing. Here, by image recoverywe refer to two classes of problems, image restoration and image reconstruction.

    pdf26p nguyen4 17-11-2009 64 5   Download

  • The purpose of this book is to provide a tutorial overview on the subject of computerized tomographic imaging. We expect the book to be useful for practicing engineers and scientists for gaining an understanding of what can and cannot be done with tomographic imaging. Toward this end, we have tried to strike a balance among purely algorithmic issues, topics dealing with how to generate data for reconstruction in different domains, and artifacts inherent to different data collection strategies....

    pdf333p waduroi 03-11-2012 31 3   Download

  • A three-stage method for compressing bi-level line-drawing images is proposed. In the first stage, the raster image is vectorized using a combination of skeletonizing and line tracing algorithm. A feature image is then reconstructed from the extracted vector elements. In the second stage, the original image is processed by a feature-based filter for removing noise near the borders of the extracted line elements. This improves the image quality and results in more compressible raster image. In the final stage, the filtered raster image is compressed using the baseline JBIG algorithm....

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  • In various applications, we often haveto deal with sets of images of a certain type; for example,X-rayimages, traffic sceneimages,etc.Eachimage in the set may be different from all the others, but at the same time all images may share certain common characteristics. We need the statistical description of images so that we capture these common characteristics and use them in order to represent an image with fewer bits and reconstruct it with the minimum error “on average”.

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  • The Roman philosopher Cicero said that “everything is in the face”, and truly the human face is a complex, multifunctional part of our anatomy which tells the world, who we are and what we are feeling both emotionally and physically, as well as performing a number of essential physiological functions. We all have to live with our own face and with how others perceive us through its appearance. It can effect our self esteem and if we are unhappy with it we may try to alter it.

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  • Image and video data compression* refers to a process in which the amount of data used to represent image and video is reduced to meet a bit rate requirement (below or at most equal to the maximum available bit rate), while the quality of the reconstructed image or video satisfies a requirement for a certain application and the complexity of computation involved is affordable for the application. The block diagram in Figure 1.1 shows the functionality of image and video data compression in visual transmission and storage.

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  • After the introduction to image and video compression presented in Chapter 1, we now address several fundamental aspects of image and video compression in the remaining chapters of Section I. Chapter 2, the first chapter in the series, concerns quantization. Quantization is a necessary component in lossy coding and has a direct impact on the bit rate and the distortion of reconstructed images or videos. We discuss concepts, principles and various quantization techniques which include uniform and nonuniform quantization, optimum quantization, and adaptive quantization. 2.

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Recovery and Visualization of 3D Structure of Chromosomes from Tomographic Reconstruction Images

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  • Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: On the Performance Evaluation of 3D Reconstruction Techniques from a Sequence of Images

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  • The real MR images were used for performance evaluation. They were acquired from ten patients with normal physiology. One example is shown in Fig. 2(a)-(e) with the same parameter values in Table 1. Band 1 is the PD-weighted spectral image acquired by the pulse sequence TR/TE = 2500ms/25ms. Bands 2, 3 and 4 are T2-weighted spectral images were acquired by the pulse sequences TR/TE = 2500ms/50ms, TR/TE = 2500ms/75ms and TR/TE =2500ms/100ms respectively. Band 5 is the T1-weighted spectral image acquired by the pulse sequence TR/TE = 500ms/11.9ms.

    pdf288p wawawawawa 27-07-2012 28 3   Download

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