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Improve wavelet threshold selection based on PSO algorithm and successive : approximation method in image compression applicat
المؤلف
المصدر
Journal of University of Babylon for Engineering Sciences
العدد
المجلد 24، العدد 3 (30 سبتمبر/أيلول 2016)، ص ص. 587-595، 9ص.
الناشر
تاريخ النشر
2016-09-30
دولة النشر
العراق
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
The growing rate in the applications that use the image compression such as the internet, multimedia, satellite imaging, medical imaging etc., make this subject under heuristics of researchers.
So, this field of image compression has been continuous to grow rapidly at the last years.
From the compression point of view, the wavelet transform plays an important role and a dominant technology in the fields of signal and image processing.
It helps us precisely decompose the signal into low and high frequency components making the thresholding process for redundant data done in an efficient way.
Also, the threshold value selection method performs a major part in data compression system.
Therefore, in this paper, two approaches have been proposed.
The first one depends on implementation the discrete wavelet transform (DWT) with Particle Swarm Optimization (PSO) algorithm to get a good selection for the threshold.
The second is a new successive-approximation threshold (SA-thresh) selection method used to produce the global threshold value for the wavelet detail coefficients of the image.
These proposed methods give more improvement in compression ratio (CR) for the image as well as enhancement in the peak signal to noise ratio (PSNR).
The implementation of this work has been done by using MATLAB 2011a.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
al-Isawi, Ahmad Husayn Shati. 2016. Improve wavelet threshold selection based on PSO algorithm and successive : approximation method in image compression applicat. Journal of University of Babylon for Engineering Sciences،Vol. 24, no. 3, pp.587-595.
https://search.emarefa.net/detail/BIM-700953
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
al-Isawi, Ahmad Husayn Shati. Improve wavelet threshold selection based on PSO algorithm and successive : approximation method in image compression applicat. Journal of University of Babylon for Engineering Sciences Vol. 24, no. 3 (2016), pp.587-595.
https://search.emarefa.net/detail/BIM-700953
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
al-Isawi, Ahmad Husayn Shati. Improve wavelet threshold selection based on PSO algorithm and successive : approximation method in image compression applicat. Journal of University of Babylon for Engineering Sciences. 2016. Vol. 24, no. 3, pp.587-595.
https://search.emarefa.net/detail/BIM-700953
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 595
رقم السجل
BIM-700953
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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