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Titlebook: Digital Holography and Digital Image Processing; Principles, Methods, Leonid Yaroslavsky Textbook 2004 Springer Science+Business Media New

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樓主
發(fā)表于 2025-3-21 17:09:50 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Digital Holography and Digital Image Processing
副標題Principles, Methods,
編輯Leonid Yaroslavsky
視頻videohttp://file.papertrans.cn/280/279387/279387.mp4
概述Describes the common fundamentals principles, methods and algorithms including image and hologram digitization, data compression, digital transforms and efficient computational algorithms, statistical
圖書封面Titlebook: Digital Holography and Digital Image Processing; Principles, Methods, Leonid Yaroslavsky Textbook 2004 Springer Science+Business Media New
描述Digital holography and digital image processing are twins born by computer era. They share origin, theoretical base, methods and algorithms. The present book describes these common fundamentals principles, methods and algorithms including image and hologram digitization, data compression, digital transforms and efficient computational algorithms, statistical and Monte-Carlo methods, image restoration and enhancement, image reconstruction in tomography and digital holography, discrete signal resampling and image geometrical transformations, accurate measurements and reliable target localization in images, recording and reconstruction of computer generated holograms, adaptive and nonlinear filters for sensor signal perfecting and image restoration and enhancement. The book combines theory, heavily illustrated practical methods and efficient computational algorithms and is written for senior-level undergraduate and graduate students, researchers and engineers in optics, photonics, opto-electronics and electronic engineering.
出版日期Textbook 2004
關鍵詞algorithms; image processing; image restoration; optics; photonics
版次1
doihttps://doi.org/10.1007/978-1-4757-4988-5
isbn_softcover978-1-4419-5397-1
isbn_ebook978-1-4757-4988-5
copyrightSpringer Science+Business Media New York 2004
The information of publication is updating

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沙發(fā)
發(fā)表于 2025-3-21 23:36:45 | 只看該作者
https://doi.org/10.1057/9781137400215 and especially in optics and holography is immeasurably larger. One can see this from a simple example of the number of different images of, for instance, . × . pixels with . gray levels. This number is ... No technical device will ever be capable of storing so many images for comparing them with input images to be digitized.
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地板
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Statistical Computation Methods and Algorithms,function and distribution density respectively — the relative share .... of the samples that do not exceed the given quantized value ., and the rate .... of the samples having the value .. The latter characteristic is referred to as signal .,the former one as ..
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Nonlinear Filters in Image Processing,escribed in the literature and describe some most useful filters for image denoising, enhancement and segmentation. The classification is aimed at revealing general common principles in the filter design and their efficient implementation in serial computers and parallel computational networks.
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發(fā)表于 2025-3-22 23:46:53 | 只看該作者
ansforms and efficient computational algorithms, statisticalDigital holography and digital image processing are twins born by computer era. They share origin, theoretical base, methods and algorithms. The present book describes these common fundamentals principles, methods and algorithms including i
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https://doi.org/10.1007/978-3-030-96494-8 when it is required to determine object index in the list of possible objects. Usually measurement devices and algorithms are designed for the use for arbitrary images from multitude of images generated by image or hologram sensors. Therefore the most appropriate approach to solving this problem is statistical one.
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