دورية أكاديمية

A New Denoising System for SONAR Images

التفاصيل البيبلوغرافية
العنوان: A New Denoising System for SONAR Images
المؤلفون: Alexandru Isar, Sorin Moga, Dorina Isar
المصدر: EURASIP Journal on Image and Video Processing, Vol 2009 (2009)
بيانات النشر: SpringerOpen, 2009.
سنة النشر: 2009
المجموعة: LCC:Electronics
مصطلحات موضوعية: Electronics, TK7800-8360
الوصف: The SONAR images are perturbed by speckle noise. The use of speckle reduction filters is necessary to optimize the image exploitation procedures. This paper presents a new denoising method in the wavelet domain, which tends to reduce the speckle, preserving the structural features and textural information of the scene. Shift-invariance associated with good directional selectivity is important for the use of a wavelet transform (WT) in many fields of image processing. Generally, complex wavelet transforms, for example, the Double Tree Complex Wavelet Transform (DT-CWT) have these useful properties. In this paper, we propose the use of the DT-CWT in association with Maximum A Posteriori (MAP) filters. Such systems carry out different quality denoising in regions with different homogeneity degree. We propose a solution for the reduction of this unwanted effect based on diversity enhancement. The corresponding denoising algorithm is simple and fast. Some simulation results prove the performance obtained.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1687-5176
1687-5281
Relation: https://doaj.org/toc/1687-5176; https://doaj.org/toc/1687-5281
DOI: 10.1155/2009/173841
URL الوصول: https://doaj.org/article/61ed1144c0e44d649536a76328a3bd8a
رقم الأكسشن: edsdoj.61ed1144c0e44d649536a76328a3bd8a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16875176
16875281
DOI:10.1155/2009/173841