Algorithms for Restoration of Impulse Noise Corrupted Images | Implemented on MATLAB

Manohar Koli (u. a.)

ISBN 10: 6137346021 / ISBN 13: 9786137346020

Published by LAP LAMBERT Academic Publishing, 2018

About this Item

Algorithms for Restoration of Impulse Noise Corrupted Images | Implemented on MATLAB | Manohar Koli (u. a.) | Taschenbuch | 192 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786137346020 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 111355593

Bibliographic Details

• Title: Algorithms for Restoration of Impulse Noise Corrupted Images | Implemented on MATLAB
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2018
• Language: English
• ISBN 10: 6137346021
• ISBN 13: 9786137346020
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 13D millimeters 220 millimeters width by 150 millimeters height by 13 millimeters depth
• Weight: 304 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Image quality enhancement or image denoising techniques for images corrupted by various types of noises are the most important issues in digital image processing. In digital image processing, impulse noise is considered to be most frequently corrupting the images. Impulse noise may corrupt the images during their acquisition or transmission or storage. The high or low impulse levels present in the impulse noise create small dots or patches on the image. Impulse noise is broadly classified into two types: fixed valued Salt and Pepper Impulse Noise (SPIN) and Random Valued Impulse Noise (RVIN). Several algorithms are proposed to remove impulse noise in the images. In this book, various types of impulse noises and techniques for handling them are addressed. Also, two efficient SPIN and RVIN handling algorithms developed as part of the authors' research are explained in detail. All algorithms have been implemented and tested using MATLAB and the complete source code of all the algorithms is included for the redeaers to experiment and get a feel of the denoising algorithms presented in this book.