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A New Exponentially Directional Weighted Function Based CT Image Denoising Using Total Variation

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: Kumar, Manoj (Author)
مؤلفين آخرين: Diwakar, Manoj (Co-Author)
المجلد/العدد: مج31, ع1
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2019
الصفحات: 113 - 124
DOI: 10.33948/0584-031-001-011
ISSN: 1319-1578
رقم MD: 974586
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
كلمات المؤلف المفتاحية:
Total Variation | Computed Tomography | Image Denoising | Anisotropic Function | Isotropic Function
رابط المحتوى:
صورة الغلاف QR قانون
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LEADER 02575nam a22002417a 4500
001 1717325
024 |3 10.33948/0584-031-001-011 
041 |a eng 
044 |b السعودية 
100 |9 524393  |a Kumar, Manoj  |e Author 
245 |a A New Exponentially Directional Weighted Function Based CT Image Denoising Using Total Variation 
260 |b جامعة الملك سعود  |c 2019 
300 |a 113 - 124 
336 |a بحوث ومقالات  |b Article 
520 |b Today, Computed tomography (CT) is one of the high efficient tools in medical science which helps to diagnose the human body. The presence of noise may degrade the visual quality of the CT images, especially for low contrast images. Therefore, we propose a method based on the modification of total variation (TV) for noise suppression in CT images which is helpful to preserve the clinically relevant details. The modification of TV is performed by introducing a new exponentially directional weighted function (EDWF), which is based on the difference between L1 and L2 norms over the exponential function. Furthermore, a numerical algorithm is designed to solve the minimization problem of EDWF using Split Bregman method. The experimental results of proposed scheme are visually analyzed over the real noise CT image, added noise in true CT images, and also on low contrast zoomed noisy CT image. Apart from visual analysis, the proposed scheme is also verified with some standard performance metrics (RMSE, PSNR, SSIM, ED, DIV and GMSD). The proposed scheme is also compared with some standard existing methods and it is observed that performance of proposed scheme is superior to existing methods in terms of visual quality and performance metrics. © 2016 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). 
653 |a التصوير المقطعي  |a التصوير الشعاعي  |a الأشعة السينية 
692 |b Total Variation  |b Computed Tomography  |b Image Denoising  |b Anisotropic Function  |b Isotropic Function 
700 |9 525527  |a Diwakar, Manoj  |e Co-Author 
773 |c 011  |e Journal of King Saud University (Computer and Information Sciences)  |f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat  |l 001  |m مج31, ع1  |o 0584  |s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات  |v 031  |x 1319-1578 
856 |u 0584-031-001-011.pdf 
930 |d y  |p y 
995 |a science 
999 |c 974586  |d 974586 

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