2 edition of Modeling the imaging chain of digital cameras found in the catalog.
The process by which an image is formed, processed, and displayed can be conceptualized as a chain of physical events called the imaging chain. By mathematically modeling the imaging chain, we can gain insight into the relationship between the camera design parameters and the resulting image quality. The mathematical models can also be used to optimize and assess the design of a camera for specific applications before expenditures are committed to building hardware. Modeling the Imaging Chain of Digital Cameras teaches the key elements of the end-to-end imaging chain for digital camera systems and describes how elements of the imaging chain are mathematically modeled using the basics of linear systems mathematics and Fourier transforms. The emphasis is on general digital cameras designed to image incoherent light in the visible imaging spectrum. The reader will learn how digital camera design parameters are related to the elements of the imaging chain and how they influence the resulting image quality. The book also discusses the use of imaging chain models to simulate images from different digital camera designs for image quality evaluations.
|Other titles||Imaging chain of digital cameras, SPIE digital library., SPIE eBooks.|
|Statement||Robert D. Fiete|
|Series||Tutorial texts in optical engineering -- v. TT 92|
|Contributions||Society of Photo-optical Instrumentation Engineers|
|LC Classifications||TR220 .F54 2010eb|
|The Physical Object|
|Format||[electronic resource] /|
|Pagination||1 online resource (xv, 226 p. :|
|Number of Pages||226|
|ISBN 10||9780819483362, 9780819483393|
The transformation of digital camera raw sensor image data into a full-color fully processed image involves a complex chain of computations. The possible orderings of individual operations and associated implementation details that constitute the image processing chain can lead to a . Most books on digital imaging have followed the traditional imaging chain of input-manipulation-output. The Complete Guide to Digital Imaging argues that the digital designer will achieve better results by following the reverse sequence: output-manipulation-input. If artists know the final usage, they’ll be spared the aggravation of scanning a photo at ultra-high resolution when all Reviews: 1.
Sec. Pinhole Cameras 5 (a) d d d O A B C B C A (b) L O H Figure Perspective effects: (a) far objects appear smaller than close ones: the distance d from the pinhole O to the plane containing C is half the distance from O to the plane containing A and B; (b) the images of parallel lines intersect at the horizon (after Hilbert and Cohn-Vossen, , Figure ). Note that the. Resource Book. Profiles of Digital Camera and Camera Phone Owners Profiles of High Intenders of Digital Cameras Segmentation Methodology and Segment Profiles Technology Overviews Optical Lens Digital Image Sensor Imaging Processor Display Technology Image Compression and File Formats.
Digital imaging is a process of creating digital images such as printed texts, photographs or networks through the use of image machine, manuscripts, artwork or digital camera. In other words, digital imaging is a method by which the content of a file or document is digitized and converted into a readable digital format from an analog format. Gain a greater understanding of optical gas imaging (OGI) technology and how it can help you find and repair gas leaks quickly, saving time, money, and the environment. This iBook for iOS and MacOS offers: In-depth look at industry applications. Rich video content. Details on how OGI and infrared work. Expert tips for maximizing OGI surveys.
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Modeling the Imaging Chain of Digital Cameras teaches the key elements of the end-to-end imaging chain for digital camera systems and describes how elements of the imaging chain are mathematically modeled using the basics of linear systems mathematics and Fourier transforms.
The emphasis is on general digital cameras designed to image Cited by: Modeling the Imaging Chain of Digital Cameras teaches the key elements of the end-to-end imaging chain for digital camera systems and describes how elements of the imaging chain are mathematically modeled using the basics of linear systems mathematics and Fourier transforms.
The emphasis is on general digital cameras designed to image. Modeling the Imaging Chain of Digital Cameras is derived from a course that I teach to share my perspectives on this topic. This book is written as a tutorial, so many details are left out and assumptions made in order to generalize some of the more difficult concepts.
I urge the reader to pick up the references and other sources to gain a more. Get this from a library. Modeling the imaging chain of digital cameras.
[Robert D Fiete; SPIE (Society)] -- The process by which an image is formed, processed, and displayed can be conceptualized as a chain of physical events called the imaging chain. By mathematically modeling the imaging chain, we can.
So far, this book has focused on the part of the imaging chain that forms the image created by the digital camera as well as the processing to enhance that information. The next step of the imaging chain is the display of the image in a manner that allows the users to visualize and interpret the information (Fig.
The principal links of the imaging chain are the radiometry, the camera, the processing, the display, and the interpretation of the image (Fig. The imaging chain begins with the radiometry of the electromagnetic energy that will create the image.
This energy may originate from the sun, a. Radiometry in the Imaging Chain 39 Electromagnetic Waves 39 Blackbody Radiation 41 Object Radiance at the Camera 43 References 47 Chapter 5 Optics 49 Optics in the Imaging Chain 49 Geometric and Physical Optics 49 Modeling the Optics as a Linear Shift-Invariant (LSI) System 52 Modeling the Propagation of Light Balancing Optics and Sensor Resolution in the Imaging Chain.
It is important at this point to look at the combined effect of the optics and sensor on the image quality produced by the camera (Fig. We have shown that the optics and the digital sensor each impose a fundamental limit on the detail that can be imaged with a digital camera.
The links in this chain impose physical limitations that prevent the camera from capturing a "perfect" image, i.e., an image that is an exact copy of the scene information.
For example, a digital image will not continue to display higher details in the scene as we view the image under higher and higher magnification (Fig. Modeling the imaging chain has become a critical design tool to understand the relationship between design trades and image quality in camera systems.
The mathematical models for the fundamental components of an imaging chain are well understood and have been validated using working camera. Modeling the imaging chain of digital cameras is necessary to relate the camera design parameters to the resulting image quality. Applications include designing cameras to meet image quality requirements as well as identifying fake images.
Get this from a library. Modeling the imaging chain of digital cameras. [Robert D Fiete; Society of Photo-optical Instrumentation Engineers.] -- The process by which an image is formed, processed, and displayed can be conceptualized as a chain of physical events called the imaging chain.
By mathematically modeling the imaging chain, we can. Imaging chain. The foundation of imaging science as a discipline is the "imaging chain" – a conceptual model describing all of the factors which must be considered when developing a system for creating visual renderings (images).
In general, the links of the imaging chain. The key components of the imaging chain are the radiometry, the image collection system (e.g. the camera), the processing of the image data, and the display of the data. The image chain begins with the electromagnetic energy from the object being imaged.
Imaging systems are. Fiete, Modeling the Imaging Chain of Digital Cameras. Tutorial Texts Image. 1 Nominal flow for a digital camera processing chain. A second approach is to model the dark floor fixed patterns.
From being imaged on the sensor, making defect concealment easier. The s the raw digital still camera DSC. Find helpful customer reviews and review ratings for Modeling the Imaging Chain of Digital Cameras (SPIE Tutorial Text Vol. TT92) (Tutorial Texts in Optical Engineering) at Read honest and unbiased product reviews from our users.
A New In-Camera Imaging Model for Color Computer Vision and Its Application Abstract: We present a study of in-camera image processing through an extensive analysis of more t images from over 30 cameras. The goal of this work is to investigate if image values can be transformed to physically meaningful values, and if so, when and how.
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Digital imaging or digital image acquisition is the creation of a digitally encoded representation of the visual characteristics of an object, such as a physical scene or the interior structure of an object.
The term is often assumed to imply or include the processing, compression, storage, printing, and display of such images.A key advantage of a digital image, versus an analog image such as.
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With regard to the instant photo system that provides the on-the-spot [ ].Fatima A. Merchant, Kenneth R. Castleman, in The Essential Guide to Image Processing, Image Sensors. With the advent of high-resolution solid state cameras, such as the slow scan, cooled charge coupled device (CCD) camera, photographic film cameras are now being replaced by digital imaging are the most frequently used image detectors as they have many advantages.Superbly illustrated throughout, Digital Imaging provides the essential skills and knowledge you need to produce high quality results.
You are guided through practical, structured activities that allow you to express yourself visually and improve your digital capture, production and post-production workflows.