An enhancement- based lossless compression for mammogram images using differential pulse code modulation /
Reem Mohamed Abdelaziz Kord
An enhancement- based lossless compression for mammogram images using differential pulse code modulation / ضغط بدون ضياع قائم علي تعزيز صور التصوير الشعاعي للثدي باستخدام تعديل شفرة النبض التفاضلي Reem Mohamed Abdelaziz Kord ; Supervised Manal Abdelwahed Abdelfatah , Heba Mahmoud Afify - Cairo : Reem Mohamed Abdelaziz Kord , 2019 - 72 P. : charts , facsimiles ; 30cm
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
Histogram equalization (HE) Image enchantment Mammography images compression
An enhancement- based lossless compression for mammogram images using differential pulse code modulation / ضغط بدون ضياع قائم علي تعزيز صور التصوير الشعاعي للثدي باستخدام تعديل شفرة النبض التفاضلي Reem Mohamed Abdelaziz Kord ; Supervised Manal Abdelwahed Abdelfatah , Heba Mahmoud Afify - Cairo : Reem Mohamed Abdelaziz Kord , 2019 - 72 P. : charts , facsimiles ; 30cm
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
Histogram equalization (HE) Image enchantment Mammography images compression