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Muhammad Anwar currently works at TIU Erbil as a Lecturer, Muhammad does research in Computer Engineering. His most recent publication is 'Wavelet Transform based Score Fusion for Face Recognition using SIFT Descriptors'.
August 2016 - present
Digital processing of images are essential parts of numerous applications ranging from biomedical image diagnosis to applications in machine vision and artificial intelligence. One of the common problems is image blurring effects due to degradation. Image blurring can inherently be caused by equipment (camera lens), motion of the target object or v...
Diabetic retinopathy is one of the leading diseases affecting eyes. Lack of early detection and treatment can lead to total blindness of the diseased eyes. Recently, numerous researchers have attempted producing automatic diabetic retinopathy detection techniques to supplement diagnosis and early treatment of diabetic retinopathy symptoms. In this...
Medical image-enhancing technology plays a significant role for processing and revealing discerning information from acquired images in many applications such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) which are frequently used for diagnosis and treatments in medical imaging. The clarity of these images become of great impo...
The purpose of this research is to investigate internet service quality in the KRI and to explore its effect on customer approval. The idea of this research came into existence from the fact that internet is quite new to the KRI customers, but it is also a sector which shows great development in the region and tends to get more common as time passe...
This study aimed to analyse the effect of service quality and price to corporate, customer satisfaction and customer loyalty of mobile telecommunications services in the city of Sulaymaniyah. The aim of this study is to determine and analyse the perception of the people about the GSM operators. Research conducted on peoples living in the city by se...
Medical image-enhancing technology plays a significant role for processing and revealing discerning information from acquired images in many applications such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) which are frequently used for diagnosis and treatments in medical imaging. The clarity of these images become of great importance considering the details required to render diagnosis. The effects associated with blurred images in such applications is very challenging. The blurring effect is largely unavoidable due to the errors associated with capturing devices and natural motion in the human body. In this research, a method is proposed utilizing image blending approach to significantly reduce the effects of blur from an image through motion adaptive Point Spread Function (PSF). The proposed Efficient Image De-Blurring methods (EIDB) is realized using PSFs. And then get deblurred quality images from image de-blending image set in the alpha plane.