By Joel Trussell, Anuj Srivastava, Amit K. Roy-Chowdhury, Ankur Srivastava, Patrick A. Naylor, Rama Chellappa and Sergios Theodoridis (Eds.)
ISBN-10: 0123965012
ISBN-13: 9780123965011
This fourth quantity of a 5 quantity set, edited and authored through global prime specialists, supplies a overview of the rules, tools and strategies of significant and rising study subject matters and applied sciences in picture, Video Processing and research, Hardware, Audio, Acoustic and Speech Processing.
With this reference resource you will:
- Quickly take hold of a brand new region of research
- Understand the underlying ideas of a subject and its application
- Ascertain how a subject matter pertains to different parts and examine of the learn concerns but to be resolved
- Quick educational experiences of vital and rising themes of analysis in picture, Video Processing and research, undefined, Audio, Acoustic and Speech Processing
- Presents center ideas and exhibits their application
- Reference content material on center rules, applied sciences, algorithms and purposes
- Comprehensive references to magazine articles and different literature on which to construct extra, extra particular and specific knowledge
- Edited through major humans within the box who, via their recognition, were in a position to fee specialists to write down on a specific topic
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Additional info for Image, Video Processing and Analysis, Hardware, Audio, Acoustic and Speech Processing
Sample text
For example, wedding photography often includes capture under less controlled conditions than commercial photography, yet without the same need for high capture speed as action photography. Commercial digital cameras were introduced in 1991 and they have evolved rapidly since then. At first, quality problems from digital cameras were fairly dramatic, with relatively low resolution, demosaicking and aliasing artifacts, poor color reproduction, and often significant compression artifacts. The evolution of digital cameras has dramatically improved image quality and increased the importance of considering image quality in a systematic way.
He is a past associate editor for the Transactions on ASSP and the Signal Processing Letters. He is a past Chairman of and long serving on the Image and Multidimensional Digital Signal Processing Committee of the Signal Processing Society of the IEEE. R. L. Combettes). J. Vrhel) and Mathematics: The Language of Electrical and Computer Engineering (with Y. Viniotis). Section 2 Anuj Srivastava is a professor in the Department of Statistics, Florida State University. S. D. degrees in electrical engineering from Washington University in St.
3b, refers to magnification that increases with distance. Parametrically, barrel distortion is characterized by negative TV distortion values, while pincushion distortion is characterized by positive values. More complex patterns, usually occurring in lenses and cameras with substantial or partially corrected geometric distortion, are not completely described by a single TV distortion value. As more complex distortion becomes more common with compact and inexpensive cameras, more comprehensive methods to quantify distortion continue to be developed.
Image, Video Processing and Analysis, Hardware, Audio, Acoustic and Speech Processing by Joel Trussell, Anuj Srivastava, Amit K. Roy-Chowdhury, Ankur Srivastava, Patrick A. Naylor, Rama Chellappa and Sergios Theodoridis (Eds.)
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