An enhancement- based lossless compression for mammogram images using differential pulse code modulation / Reem Mohamed Abdelaziz Kord ; Supervised Manal Abdelwahed Abdelfatah , Heba Mahmoud Afify

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Reem Mohamed Abdelaziz Kord

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TextLanguage: English Publication details: Cairo : Reem Mohamed Abdelaziz Kord , 2019Description: 72 P. : charts , facsimiles ; 30cmOther title:

ضغط بدون ضياع قائم علي تعزيز صور التصوير الشعاعي للثدي باستخدام تعديل شفرة النبض التفاضلي [Added title page title]

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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering Summary: Mammogram images are important documents as they play an important role in early detection of breast cancer. They are high-resolution and large size images which require specific computing facilities to process them. Moreover, transmitting these images over computer networks can be difficult and might require image compression. Therefore, a reduction stage is an important stage in most mammography-based systems. In this study ; we employ new compression technique that is based on image enhancement, Haar wavelet transform and compression by differential pulse code modulation (DPCM). Several methods with different parameters have been used for image enhancement and performance evaluation, which will be explained in details later within the thesis

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Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.03.M.Sc.2019.Re.E (Browse shelf(Opens below))		Not for loan		01010110078595000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.03.M.Sc.2019.Re.E (Browse shelf(Opens below))	78595.CD	Not for loan		01020110078595000

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Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering

Mammogram images are important documents as they play an important role in early detection of breast cancer. They are high-resolution and large size images which require specific computing facilities to process them. Moreover, transmitting these images over computer networks can be difficult and might require image compression. Therefore, a reduction stage is an important stage in most mammography-based systems. In this study ; we employ new compression technique that is based on image enhancement, Haar wavelet transform and compression by differential pulse code modulation (DPCM). Several methods with different parameters have been used for image enhancement and performance evaluation, which will be explained in details later within the thesis

Issued also as CD

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