Image Denoising using Adaptive Filter

Language: English

Published by LAP LAMBERT Academic Publishing Mai 2017, 2017

3330082178 / 9783330082175

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This item is printed on demand - Print on Demand Titel. Neuware -Visual information transmitted in the form of digital images is becoming a major method of communication in the modern age, but the image obtained after transmission is often corrupted with noise. The received image needs processing before it can be used in applications. Image denoising involves the manipulation of the image data to produce a visually high quality image. This thesis reviews the existing denoising algorithms, such as Mean filter, Median filter, Local adaptive filter and finely two dimensional blocks least mean square algorithm (TDBLMS) filtering approach, and performs their comparative study. Different noise models including additive and multiplicative types are used. They include Gaussian noise, salt and pepper noise, speckle noise and Poisson noise. Selection of the denoising algorithm is application dependent. Hence, it is necessary to have knowledge about the noise present in the image so as to select the appropriate denoising algorithm. The TDBLMS approach finds applications in denoising of different images corrupted with Additive and multiplicative noise.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.…

Seller Inventory # 9783330082175

Title
Image Denoising using Adaptive Filter
Author
Anupkumar Jayaswal
Publisher
LAP LAMBERT Academic Publishing Mai 2017
Publication year
2017
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3330082178
ISBN 13
9783330082175
Item weight
131 grams
Dimensions
220x150x6 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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