Measure of singular value decomposition (msvd) based quality assessment for medical images with degradation
المؤلف
المصدر
The International Arab Journal of Information Technology
العدد
المجلد 18، العدد 5 (30 سبتمبر/أيلول 2021)، ص ص. 739-746، 8ص.
الناشر
جامعة الزرقاء عمادة البحث العلمي
تاريخ النشر
2021-09-30
دولة النشر
الأردن
عدد الصفحات
8
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
We use images in several important areas such as military, health, security, and science.
Images can be distorted during the capturing, recording, processing, and storing.
Image quality metrics are the techniques to measure the quality and quality accuracy level of the images and videos.
Most of the quality measurement algorithms does not affect by small distortions in the image.
Magnetic Resonance Imaging (MRI), Computed Tomography (CT), and Ultrasonic Imaging (UI) are widely used in the health sector.
Because of several reasons it might be artifacts in the medical images.
Doctor decisions might be affected by these image artifacts.
Image quality measurement is an important and challenging area to work on.
There are several metrics that have been done in the literature such as mean square error, peak signal-noise ratio, gradient similarity measure, structural similarity index, and universal image quality.
Patient information can be an embedded corner of the medical image as a watermark.
Watermark can be considered one of the image distortions types.
The most common objective evaluation algorithms are simple pixel based which are very unreliable, resulting in poor correlation with the human visual system.
In this work, we proposed a new image quality metric which is a Measure of Singular Value Decomposition (M-SVD).
Experimental results show that novel M-SVD algorithm gives very promising results against Peak Signal to Noise Ratio (PSNR), the Mean Square Error (MSE), Structural Similarity Index Measures (SSIM), and 3.4.
Universal Image Quality (UIQ) assessments in watermarked and distorted images such as histogram equalization, JPEG compression, Gamma Correction, Gaussian Noise, Image Denoising, and Contrast Change.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Elbası, Ersin. 2021. Measure of singular value decomposition (msvd) based quality assessment for medical images with degradation. The International Arab Journal of Information Technology،Vol. 18, no. 5, pp.739-746.
https://search.emarefa.net/detail/BIM-1431123
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Elbası, Ersin. Measure of singular value decomposition (msvd) based quality assessment for medical images with degradation. The International Arab Journal of Information Technology Vol. 18, no. 5 (Sep. 2021), pp.739-746.
https://search.emarefa.net/detail/BIM-1431123
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Elbası, Ersin. Measure of singular value decomposition (msvd) based quality assessment for medical images with degradation. The International Arab Journal of Information Technology. 2021. Vol. 18, no. 5, pp.739-746.
https://search.emarefa.net/detail/BIM-1431123
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Text in English ; abstracts in .
رقم السجل
BIM-1431123
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر