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Image noise

Known as: Visual noise, Noise (photography), Sensor noise 
Image noise is random (not present in the object imaged) variation of brightness or color information in images, and is usually an aspect of… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2019
Review
2019
The k‐nearest neighbors algorithm is characterized as a simple yet effective data mining technique. The main drawback of this… Expand
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Review
2018
Review
2018
Abstract Arrhythmia is a type of disorder that affects the pattern and rate of the heartbeat. Among the various arrhythmia… Expand
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Review
2018
Review
2018
This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State estimation for nonlinear systems has… Expand
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Highly Cited
2007
Highly Cited
2007
The quantitative evaluation of optical flow algorithms by Barron et al. (1994) led to significant advances in performance. The… Expand
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Highly Cited
2006
Highly Cited
2006
In order to work well, many computer vision algorithms require that their parameters be adjusted according to the image noise… Expand
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Highly Cited
2004
Highly Cited
2004
We study an energy functional for computing optical flow that combines three assumptions: a brightness constancy assumption, a… Expand
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Highly Cited
1994
Highly Cited
1994
Changes in measured image irradiance have many physical causes and are the primary cue for several visual processes, such as edge… Expand
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Highly Cited
1984
Highly Cited
1984
  • C. Shannon
  • Proceedings of the IEEE
  • 1984
  • Corpus ID: 12037187
A method is developed for representing any communication system geometrically. Messages and the corresponding signals are points… Expand
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Highly Cited
1980
Highly Cited
1980
Preface. Part I: Critique of Theoretical Reason. Foreword. 1. Objectifying Objectification. 2. The Imaginary Anthropology of… Expand
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Highly Cited
1949
Highly Cited
1949
HE recent development of various methods of modulation such as PCM and PPM which exchange bandwidth for signal-to-noise ratio has… Expand
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