Fractal Video Coding Using Fast Normalized Covariance Based Similarity Measure
المؤلفون المشاركون
Chaudhari, Ravindra E.
Dhok, Sanjay B.
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2016، العدد 2016 (31 ديسمبر/كانون الأول 2016)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2016-11-29
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Fast normalized covariance based similarity measure for fractal video compression with quadtree partitioning is proposed in this paper.
To increase the speed of fractal encoding, a simplified expression of covariance between range and overlapped domain blocks within a search window is implemented in frequency domain.
All the covariance coefficients are normalized by using standard deviation of overlapped domain blocks and these are efficiently calculated in one computation by using two different approaches, namely, FFT based and sum table based.
Results of these two approaches are compared and they are almost equal to each other in all aspects, except the memory requirement.
Based on proposed simplified similarity measure, gray level transformation parameters are computationally modified and isometry transformations are performed using rotation/reflection properties of IFFT.
Quadtree decompositions are used for the partitions of larger size of range block, that is, 16 × 16, which is based on target level of motion compensated prediction error.
Experimental result shows that proposed method can increase the encoding speed and compression ratio by 66.49% and 9.58%, respectively, as compared to NHEXS method with increase in PSNR by 0.41 dB.
Compared to H.264, proposed method can save 20% of compression time with marginal variation in PSNR and compression ratio.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chaudhari, Ravindra E.& Dhok, Sanjay B.. 2016. Fractal Video Coding Using Fast Normalized Covariance Based Similarity Measure. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1111784
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chaudhari, Ravindra E.& Dhok, Sanjay B.. Fractal Video Coding Using Fast Normalized Covariance Based Similarity Measure. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1111784
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chaudhari, Ravindra E.& Dhok, Sanjay B.. Fractal Video Coding Using Fast Normalized Covariance Based Similarity Measure. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1111784
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1111784
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