Competitive learning/reflected residual vector quantization for coding angiogram images

Competitive learning/reflected residual vector quantization for coding angiogram images

Medical images need to be compressed for the purpose of storage/transmission of a large volume of medical data. Reflected residual vector quantization (RRVQ) has emerged recently as one of the computationally cheap compression algorithms. RRVQ, which is a lossy compression scheme, was introduced as...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Mourn, W.A.H. (author)
مؤلفون آخرون:	Al-Duwaish, H. (author), Khan, M.A.U. (author), unknown (author)
التنسيق:	article
منشور في:	2003
الموضوعات:	Computer
الوصول للمادة أونلاين:	https://eprints.kfupm.edu.sa/id/eprint/14084/1/14084_1.pdf https://eprints.kfupm.edu.sa/id/eprint/14084/2/14084_2.doc
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

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