nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, we proposed a developed system to restore foggy degraded images using Back propagation neural network(BP-NN). The suggested method is based on mapping between foggy scene and its corresponding original scene. The weight matrix resulted from training the BP-NN represents the filter of the fog.By using more than one method and more than one feature set, we achieved the effective features that suits BP-NNmethod for foggy image restoration. Seven different approaches (seven different features) are suggested to generate proper fog filter (i.e. seven different fog filters are generated).

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Bibliographic Details

Title: Foggy Image Restoration Using Neural Network
Publisher: Scholars' Press
Publication Date: 2016
Language: English
ISBN 10: 3639517229
ISBN 13: 9783639517224
Binding: Taschenbuch
Condition: Neu
Dimensions: 220 millimeters width by 150 millimeters height by 7 millimeters depth
Weight: 155 grams

About this title

Synopsis

In this book, we proposed a developed system to restore foggy degraded images using Back propagation neural network(BP-NN). The suggested method is based on mapping between foggy scene and its corresponding original scene. The weight matrix resulted from training the BP-NN represents the filter of the fog.By using more than one method and more than one feature set, we achieved the effective features that suits BP-NNmethod for foggy image restoration. Seven different approaches (seven different features) are suggested to generate proper fog filter (i.e. seven different fog filters are generated).

About the Author

Venus W.Samawi is an associate professor in the department of Computer Science at Isra University/ Jordan. and Khader S.Alidmat holds a Master degree in Computer Science.

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