Noise Removal Algorithms For Images

Punyaban Patel

ISBN 10: 613743270X / ISBN 13: 9786137432709

Verlag: LAP LAMBERT Academic Publishing Feb 2018, 2018

Beschreibung

Neuware -Image denoising has been a well-studied problem and a highly demanded area of research in the field of image processing. Images are generally degraded due to the faulty sensor, channel error, camera miss-focus, atmospheric turbulence, relative camera motion, image acquisition and or transmission etc. Such conditions are inevitable while capturing a scene through a camera. As degraded images are of little scientific values, restorations of such images are utmost essential. As camera manufacturers continue to pack increasing numbers of pixels per unit area, an increase in noise sensitivity manifests itself in the form of a noisier image. Researchers continue to focus attention on it to better the current state-of-the-art. Recently proposed methods take different approaches to the problem and yet their denoising performances are comparable. Impulsive noise is common in images, which arise at the time of image acquisition and or transmission of images. This book discusses various types of noises which affect digital images and also proposed many algorithms for removal of impulse noise from images.Books on Demand GmbH, Überseering 33, 22297 Hamburg 164 pp. Englisch.

Bestandsnummer des Verkäufers 9786137432709

Bibliografische Details

• Titel: Noise Removal Algorithms For Images
• Verlag: LAP LAMBERT Academic Publishing Feb 2018
• Veröffentlichungsdatum: 2018
• Sprache: Englisch
• ISBN-10: 613743270X
• ISBN-13: 9786137432709
• Bindung: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

Image denoising has been a well-studied problem and a highly demanded area of research in the field of image processing. Images are generally degraded due to the faulty sensor, channel error, camera miss-focus, atmospheric turbulence, relative camera motion, image acquisition and or transmission etc. Such conditions are inevitable while capturing a scene through a camera. As degraded images are of little scientific values, restorations of such images are utmost essential. As camera manufacturers continue to pack increasing numbers of pixels per unit area, an increase in noise sensitivity manifests itself in the form of a noisier image. Researchers continue to focus attention on it to better the current state-of-the-art. Recently proposed methods take different approaches to the problem and yet their denoising performances are comparable. Impulsive noise is common in images, which arise at the time of image acquisition and or transmission of images. This book discusses various types of noises which affect digital images and also proposed many algorithms for removal of impulse noise from images.