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A Survey of Blur Detection and Sharpness Assessment MethodsIntroduction

A Survey of Blur Detection and Sharpness Assessment Methods: Introduction [In this book, we present a survey of the state-of-the-art in image blur detection and assessment. The dimension reduction caused when acquiring an image is accompanied by distortions introduced by the imaging system, objects in the scene, environmental conditions, lighting conditions, among others. Perhaps one of the most prevalent effects produced by these agents is image blurring. Although in most applications image blur is an unwanted effect, there are a few cases where it is intentionally introduced or even enhanced, e.g., in art, photography, and cinematography [1]. The most common sources of blur are out-of-focus, motion, and atmospheric turbulence. These are described below.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

A Survey of Blur Detection and Sharpness Assessment MethodsIntroduction

Part of the Synthesis Lectures on Algorithms and Software in Engineering Book Series
Andrade, Juan
Springer Journals — Jan 1, 2021
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4 pages

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Publisher
Springer International Publishing
Copyright
© Springer Nature Switzerland AG 2021
ISBN
978-3-031-00401-8
Pages
1 –5
DOI
10.1007/978-3-031-01529-8_1
Publisher site
See Chapter on Publisher Site

Abstract

[In this book, we present a survey of the state-of-the-art in image blur detection and assessment. The dimension reduction caused when acquiring an image is accompanied by distortions introduced by the imaging system, objects in the scene, environmental conditions, lighting conditions, among others. Perhaps one of the most prevalent effects produced by these agents is image blurring. Although in most applications image blur is an unwanted effect, there are a few cases where it is intentionally introduced or even enhanced, e.g., in art, photography, and cinematography [1]. The most common sources of blur are out-of-focus, motion, and atmospheric turbulence. These are described below.]

Published: Jan 1, 2021

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