Image Denoising using Adaptive Filter
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2017, 2017
- Softcover
- New
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
AbeBooks seller since January 11, 2012
Condition: New
£ 31.30
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Add to basketItem description from seller
This item is printed on demand - it takes 3-4 days longer - 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. 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
- 220x150x5 mm
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About the Author
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BuchWeltWeit Ludwig Meier e.K.
Bergisch Gladbach, Germany
AbeBooks seller since January 11, 2012
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