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Article
New Quality Metric for Compresed Images

Authors: Fatimah S. Abdulsattar --- Maath Jasem Mahammad --- Dhafer R. Zaghar
Journal: Anbar Journal of Engineering Sciences مجلة الأنبار للعلوم الهندسية ISSN: 19979428 Year: 2020 Volume: 8 Issue: 3 Pages: 252-259
Publisher: University of Anbar جامعة الانبار

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Abstract

The field of image processing has several applications in our daily life. The image quality can be affected by a wide variety of deformations during image acquisition, transmission, compression, etc. Image compression is one of the applications where the quality of the image plays an im-portant role since it can be used to evaluate the performance of various image compression tech-niques. Many image quality assessment metrics have been proposed. This paper proposes a new metric to assess the quality of compressed images. The principle idea of this metric is to estimate the amount of lost information during image compression process using three components: error magnitude, error location and error distribution. We denote this metric as MLD, which combines the objective assessment (error magnitude) and the subjective assessment (error location and error distribution). First, the metric is used to estimate the quality of compressed images using the JPEG algorithm as this is a standard lossy image compression technique. Then, the metric is used to estimate the quality of compressed images using other compression techniques. The results illustrate that the proposed quality metric is correlated with the subjective assessment better than other well-known objective quality metrics such as SSIM, MSE and PSNR. Moreover, using the proposed metric the JPEG2000 algorithm produces better quality results as compared to the JPEG algorithm especially for higher compression ratios.


Article
Discussing Fuzzy Reliability Estimators of Function of Mixed Probability Distribution by Simulation
مناقشة عدة مقدرات للمعولية الضبابية لتوزيع احتمالي مختلط بواسطة المحاكاة

Author: Mohammed Kadhim Hawash محمد كاظم هواش
Journal: Baghdad Science Journal مجلة بغداد للعلوم ISSN: 20788665 24117986 Year: 2020 Volume: 17 Issue: 1 Pages: 141-149
Publisher: Baghdad University جامعة بغداد

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Abstract

This paper deals with constructing mixed probability distribution from exponential with scale parameter (β) and also Gamma distribution with (2,β), and the mixed proportions are (□(α/(α+1)),□(1/(α+1))) .first of all, the probability density function (p.d.f) and also cumulative distribution function (c.d.f) and also the reliability function are obtained. The parameters of mixed distribution, (α,β) are estimated by three different methods, which are maximum likelihood, and Moments method,as well proposed method (Differential Least Square Method)(DLSM).The comparison is done using simulation procedure, and all the results are explained in tables.

يتناول هذا البحث تقدير المعولية الضبابية لتوزيع احتمالي مختلط يتكون من مزج التوزيع الاسي ذو المعلمة (β) ,مع توزيع كاما ذي المعلمتين (2,β), وان معلمات المزج هي (□(α/(α+1)),□(1/(α+1))) ,وقد تم اشتقاق الدالة الاحتمالية والتراكمية وكذلك دالة المعولية , وتم تقدير المعلمات بطريقة الإمكان الأعظم وطريقة العزوم وطريقة المربعات الصغرى , وبعد اشتقاق المقدرات بالطرائق الثلاث, أجريت تجارب محاكاة لمقارنة النتائج وإيجاد مقدر المعولية الضبابي الذي يحقق اصغر متوسط مربعات خطأ.

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